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ORCIDManmohan Krishna Chandraker
Manmohan Chandraker
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- affiliation: University of California, San Diego, USA
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2020 – today
- 2024
[j13]Salman Siddique Khan
, Xiang Yu, Kaushik Mitra, Manmohan Chandraker, Francesco Pittaluga:
OpEnCam: Lensless Optical Encryption Camera. IEEE Trans. Computational Imaging 10: 1306-1316 (2024)- [c128]Tarun Kalluri, Weiyao Wang, Heng Wang, Manmohan Chandraker, Lorenzo Torresani, Du Tran:
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision. CVPR Workshops 2024: 2693-2703 - [c127]Yu-Ying Yeh, Jia-Bin Huang, Changil Kim, Lei Xiao, Thu Nguyen-Phuoc, Numair Khan, Cheng Zhang, Manmohan Chandraker, Carl S. Marshall, Zhao Dong, Zhengqin Li:
TextureDreamer: Image-Guided Texture Synthesis through Geometry-Aware Diffusion. CVPR 2024: 4304-4314 - [c126]Tarun Kalluri, Jihyeon Lee, Kihyuk Sohn, Sahil Singla, Manmohan Chandraker, Joseph Xu, Jeremiah Z. Liu:
Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data. CVPR Workshops 2024: 7449-7459 - [c125]Yumin Suh, Dongwan Kim, Abhishek Aich, Samuel Schulter, Jong-Chyi Su, Bohyung Han, Manmohan Chandraker:
Improving the Efficiency-Accuracy Trade-off of DETR-Style Models in Practice. CVPR Workshops 2024: 8027-8031 - [c124]Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter:
Generating Enhanced Negatives for Training Language-Based Object Detectors. CVPR 2024: 13592-13602 - [c123]Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, B. G. Vijay Kumar, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas:
Taming Self-Training for Open-Vocabulary Object Detection. CVPR 2024: 13938-13947 - [c122]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Yun Fu, Manmohan Chandraker:
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement. CVPR 2024: 14344-14353 - [c121]Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker:
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving. CVPR 2024: 14695-14706 - [c120]Shanlin Sun, Bingbing Zhuang, Ziyu Jiang, Buyu Liu, Xiaohui Xie, Manmohan Chandraker:
LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes. CVPR 2024: 19563-19572 - [c119]Di Liu, Bingbing Zhuang, Dimitris N. Metaxas, Manmohan Chandraker:
Instantaneous Perception of Moving Objects in 3D. CVPR 2024: 19573-19583 - [c118]Alex Trevithick, Matthew A. Chan, Towaki Takikawa, Umar Iqbal, Shalini De Mello, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano:
What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs. CVPR 2024: 22765-22775 - [c117]Tarun Kalluri, Sreyas Ravichandran, Manmohan Chandraker:
UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework. ECCV (85) 2024: 199-220 - [c116]Wei-Jer Chang, Francesco Pittaluga, Masayoshi Tomizuka, Wei Zhan, Manmohan Chandraker:
SAFE-SIM: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries. ECCV (21) 2024: 242-258 - [c115]Tarun Kalluri, Bodhisattwa Prasad Majumder, Manmohan Chandraker:
Tell, Don't Show: Language Guidance Eases Transfer Across Domains in Images and Videos. ICML 2024 - [c114]Sriram Narayanan, Dinesh Jayaraman, Manmohan Chandraker:
Long-HOT: A Modular Hierarchical Approach for Long-Horizon Object Transport. ICRA 2024: 14867-14874 - [i101]Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter:
Generating Enhanced Negatives for Training Language-Based Object Detectors. CoRR abs/2401.00094 (2024) - [i100]S. P. Sharan, Francesco Pittaluga, Vijay Kumar B. G, Manmohan Chandraker:
LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning. CoRR abs/2401.00125 (2024) - [i99]Wei-Jer Chang, Francesco Pittaluga, Masayoshi Tomizuka, Wei Zhan, Manmohan Chandraker:
Controllable Safety-Critical Closed-loop Traffic Simulation via Guided Diffusion. CoRR abs/2401.00391 (2024) - [i98]Alex Trevithick, Matthew A. Chan, Towaki Takikawa, Umar Iqbal, Shalini De Mello, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano:
What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs. CoRR abs/2401.02411 (2024) - [i97]Yu-Ying Yeh, Jia-Bin Huang, Changil Kim, Lei Xiao, Thu Nguyen-Phuoc, Numair Khan, Cheng Zhang, Manmohan Chandraker, Carl S. Marshall, Zhao Dong, Zhengqin Li:
TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion. CoRR abs/2401.09416 (2024) - [i96]Tarun Kalluri, Bodhisattwa Prasad Majumder, Manmohan Chandraker:
Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in Images and Videos. CoRR abs/2403.05535 (2024) - [i95]Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker:
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving. CoRR abs/2403.17373 (2024) - [i94]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Yun Fu, Manmohan Chandraker:
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement. CoRR abs/2404.04627 (2024) - [i93]Abhishek Aich, Yumin Suh, Samuel Schulter, Manmohan Chandraker:
Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation. CoRR abs/2404.14657 (2024) - [i92]Manyi Yao, Abhishek Aich, Yumin Suh, Amit Roy-Chowdhury, Christian R. Shelton, Manmohan Chandraker:
Efficient Transformer Encoders for Mask2Former-style models. CoRR abs/2404.15244 (2024) - [i91]Shanlin Sun, Bingbing Zhuang, Ziyu Jiang, Buyu Liu, Xiaohui Xie, Manmohan Chandraker:
LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes. CoRR abs/2405.00900 (2024) - [i90]Di Liu, Bingbing Zhuang, Dimitris N. Metaxas, Manmohan Chandraker:
Instantaneous Perception of Moving Objects in 3D. CoRR abs/2405.02781 (2024) - [i89]Meng Song, Xuezhi Wang, Tanay Biradar, Yao Qin, Manmohan Chandraker:
A Minimalist Prompt for Zero-Shot Policy Learning. CoRR abs/2405.06063 (2024) - [i88]Tarun Kalluri, Jihyeon Lee, Kihyuk Sohn, Sahil Singla, Manmohan Chandraker, Joseph Xu, Jeremiah Z. Liu:
Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data. CoRR abs/2405.13779 (2024) - [i87]Tarun Kalluri, Sreyas Ravichandran, Manmohan Chandraker:
UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework. CoRR abs/2409.15264 (2024) - 2023
- [j12]Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran:
FLAVR: flow-free architecture for fast video frame interpolation. Mach. Vis. Appl. 34(5): 83 (2023) - [j11]Zhengqin Li, Li Yu, Mikhail Okunev, Manmohan Chandraker, Zhao Dong:
Spatiotemporally Consistent HDR Indoor Lighting Estimation. ACM Trans. Graph. 42(3): 34:1-34:15 (2023) - [j10]Alex Trevithick, Matthew A. Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano:
Real-Time Radiance Fields for Single-Image Portrait View Synthesis. ACM Trans. Graph. 42(4): 135:1-135:15 (2023) - [c113]Zaid Khan, B. G. Vijay Kumar, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker:
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CVPR 2023: 15005-15015 - [c112]Tarun Kalluri, Wangdong Xu, Manmohan Chandraker:
GeoNet: Benchmarking Unsupervised Adaptation across Geographies. CVPR 2023: 15368-15379 - [c111]Zhixiang Min, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Enrique Dunn, Manmohan Chandraker:
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization. CVPR 2023: 21404-21414 - [c110]Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi:
A Theory of Topological Derivatives for Inverse Rendering of Geometry. ICCV 2023: 419-429 - [c109]Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi:
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation. ICCV 2023: 3825-3835 - [c108]Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh:
Efficient Controllable Multi-Task Architectures. ICCV 2023: 5717-5728 - [c107]Mateusz Michalkiewicz, Masoud Faraki, Xiang Yu, Manmohan Chandraker, Mahsa Baktashmotlagh:
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters. ICCV 2023: 6154-6165 - [c106]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Exploring Question Decomposition for Zero-Shot VQA. NeurIPS 2023 - [c105]Kunal Gupta, Milos Hasan, Zexiang Xu, Fujun Luan, Kalyan Sunkavalli, Xin Sun, Manmohan Chandraker, Sai Bi:
MCNeRF: Monte Carlo Rendering and Denoising for Real-Time NeRFs. SIGGRAPH Asia 2023: 98:1-98:11 - [c104]Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran:
FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation. WACV 2023: 2070-2081 - [c103]Weijian Deng, Yumin Suh, Xiang Yu, Masoud Faraki, Liang Zheng, Manmohan Chandraker:
Split to Learn: Gradient Split for Multi-Task Human Image Analysis. WACV 2023: 4340-4349 - [c102]Shubham Dokania, A. H. Abdul Hafez, Anbumani Subramanian, Manmohan Chandraker, C. V. Jawahar:
IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes. WACV 2023: 4471-4480 - [i86]Tarun Kalluri, Weiyao Wang, Heng Wang, Manmohan Chandraker, Lorenzo Torresani, Du Tran:
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision. CoRR abs/2303.05503 (2023) - [i85]Tarun Kalluri, Wangdong Xu, Manmohan Chandraker:
GeoNet: Benchmarking Unsupervised Adaptation across Geographies. CoRR abs/2303.15443 (2023) - [i84]Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi:
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation. CoRR abs/2304.05669 (2023) - [i83]Alex Trevithick, Matthew A. Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano:
Real-Time Radiance Fields for Single-Image Portrait View Synthesis. CoRR abs/2305.02310 (2023) - [i82]Zhengqin Li, Li Yu, Mikhail Okunev, Manmohan Chandraker, Zhao Dong:
Spatiotemporally Consistent HDR Indoor Lighting Estimation. CoRR abs/2305.04374 (2023) - [i81]Chaitanya Animesh, Manmohan Chandraker:
Tuned Contrastive Learning. CoRR abs/2305.10675 (2023) - [i80]Zhixiang Min, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Enrique Dunn, Manmohan Chandraker:
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization. CoRR abs/2305.17763 (2023) - [i79]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker:
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CoRR abs/2306.03932 (2023) - [i78]Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, Vijay Kumar B. G, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas:
Improving Pseudo Labels for Open-Vocabulary Object Detection. CoRR abs/2308.06412 (2023) - [i77]Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi:
A Theory of Topological Derivatives for Inverse Rendering of Geometry. CoRR abs/2308.09865 (2023) - [i76]Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh:
Efficient Controllable Multi-Task Architectures. CoRR abs/2308.11744 (2023) - [i75]Mateusz Michalkiewicz, Masoud Faraki, Xiang Yu, Manmohan Chandraker, Mahsa Baktashmotlagh:
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters. CoRR abs/2310.07361 (2023) - [i74]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Exploring Question Decomposition for Zero-Shot VQA. CoRR abs/2310.17050 (2023) - 2022
- [c101]Rui Zhu, Zhengqin Li, Janarbek Matai, Fatih Porikli, Manmohan Chandraker:
IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes. CVPR 2022: 2812-2821 - [c100]Chang Liu, Xiang Yu, Yi-Hsuan Tsai, Masoud Faraki, Ramin Moslemi, Manmohan Chandraker, Yun Fu:
Learning to Learn across Diverse Data Biases in Deep Face Recognition. CVPR 2022: 4062-4072 - [c99]Tarun Kalluri, Manmohan Chandraker:
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels. CVPR Workshops 2022: 4120-4130 - [c98]Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker:
On Generalizing Beyond Domains in Cross-Domain Continual Learning. CVPR 2022: 9255-9264 - [c97]Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker:
Controllable Dynamic Multi-Task Architectures. CVPR 2022: 10945-10954 - [c96]Buyu Liu, Bingbing Zhuang, Manmohan Chandraker:
Weakly But Deeply Supervised Occlusion-Reasoned Parametric Road Layouts. CVPR 2022: 16979-16988 - [c95]Yu-Ying Yeh, Zhengqin Li, Yannick Hold-Geoffroy, Rui Zhu, Zexiang Xu, Milos Hasan, Kalyan Sunkavalli, Manmohan Chandraker:
PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes. CVPR 2022: 18541-18550 - [c94]Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, Bohyung Han:
Learning Semantic Segmentation from Multiple Datasets with Label Shifts. ECCV (28) 2022: 20-36 - [c93]Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, B. G. Vijay Kumar, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas:
Exploiting Unlabeled Data with Vision and Language Models for Object Detection. ECCV (9) 2022: 159-175 - [c92]Zaid Tasneem, Giovanni Milione, Yi-Hsuan Tsai, Xiang Yu, Ashok Veeraraghavan, Manmohan Chandraker, Francesco Pittaluga:
Learning Phase Mask for Privacy-Preserving Passive Depth Estimation. ECCV (7) 2022: 504-521 - [c91]Tarun Kalluri, Astuti Sharma, Manmohan Chandraker:
MemSAC: Memory Augmented Sample Consistency for Large Scale Domain Adaptation. ECCV (30) 2022: 550-568 - [c90]Zhengqin Li, Jia Shi, Sai Bi, Rui Zhu, Kalyan Sunkavalli, Milos Hasan, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker:
Physically-Based Editing of Indoor Scene Lighting from a Single Image. ECCV (6) 2022: 555-572 - [c89]Shubham Dokania, Anbumani Subramanian, Manmohan Chandraker, C. V. Jawahar:
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments. ECCV (8) 2022: 592-608 - [c88]Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi:
A Level Set Theory for Neural Implicit Evolution Under Explicit Flows. ECCV (2) 2022: 711-729 - [c87]Zaid Khan, B. G. Vijay Kumar, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Single-Stream Multi-level Alignment for Vision-Language Pretraining. ECCV (36) 2022: 735-751 - [c86]Manmohan Chandraker:
Learning, Understanding and Interaction in Videos. NarSUM@MM 2022: 3 - [i73]Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, Bohyung Han:
Learning Semantic Segmentation from Multiple Datasets with Label Shifts. CoRR abs/2202.14030 (2022) - [i72]Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker:
On Generalizing Beyond Domains in Cross-Domain Continual Learning. CoRR abs/2203.03970 (2022) - [i71]Zaid Khan, Vijay Kumar B. G, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Single-Stream Multi-Level Alignment for Vision-Language Pretraining. CoRR abs/2203.14395 (2022) - [i70]Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker:
Controllable Dynamic Multi-Task Architectures. CoRR abs/2203.14949 (2022) - [i69]Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi:
A Level Set Theory for Neural Implicit Evolution under Explicit Flows. CoRR abs/2204.07159 (2022) - [i68]Zhengqin Li, Jia Shi, Sai Bi, Rui Zhu, Kalyan Sunkavalli, Milos Hasan, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker:
Physically-Based Editing of Indoor Scene Lighting from a Single Image. CoRR abs/2205.09343 (2022) - [i67]Rui Zhu, Zhengqin Li, Janarbek Matai, Fatih Porikli, Manmohan Chandraker:
IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes. CoRR abs/2206.08423 (2022) - [i66]Meng Song, Yuhan Liu, Zhengqin Li, Manmohan Chandraker:
Learning to Rearrange with Physics-Inspired Risk Awareness. CoRR abs/2206.12784 (2022) - [i65]Yu-Ying Yeh, Zhengqin Li, Yannick Hold-Geoffroy, Rui Zhu, Zexiang Xu, Milos Hasan, Kalyan Sunkavalli, Manmohan Chandraker:
PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes. CoRR abs/2207.00757 (2022) - [i64]Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, Vijay Kumar B. G, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas:
Exploiting Unlabeled Data with Vision and Language Models for Object Detection. CoRR abs/2207.08954 (2022) - [i63]Tarun Kalluri, Astuti Sharma, Manmohan Chandraker:
MemSAC: Memory Augmented Sample Consistency for Large Scale Domain Adaptation. CoRR abs/2207.12389 (2022) - [i62]Zhanpeng Feng, Shiliang Zhang, Rinyoichi Takezoe, Wenze Hu, Manmohan Chandraker, Li-Jia Li, Vijay K. Narayanan, Xiaoyu Wang:
ALBench: A Framework for Evaluating Active Learning in Object Detection. CoRR abs/2207.13339 (2022) - [i61]Tarun Kalluri, Manmohan Chandraker:
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels. CoRR abs/2208.02804 (2022) - [i60]Shubham Dokania, Anbumani Subramanian, Manmohan Chandraker, C. V. Jawahar:
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments. CoRR abs/2208.07943 (2022) - [i59]Shubham Dokania, A. H. Abdul Hafez, Anbumani Subramanian, Manmohan Chandraker, C. V. Jawahar:
IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes. CoRR abs/2210.12878 (2022) - [i58]Sriram Narayanan, Dinesh Jayaraman, Manmohan Chandraker:
Long-HOT: A Modular Hierarchical Approach for Long-Horizon Object Transport. CoRR abs/2210.15908 (2022) - 2021
- [c85]Bingbing Zhuang, Manmohan Chandraker:
Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty. CVPR 2021: 32-42 - [c84]Astuti Sharma, Tarun Kalluri, Manmohan Chandraker:
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation. CVPR 2021: 5361-5371 - [c83]Zhengqin Li, Ting-Wei Yu, Shen Sang, Sarah Wang, Meng Song, Yuhan Liu, Yu-Ying Yeh, Rui Zhu, Nitesh B. Gundavarapu, Jia Shi, Sai Bi, Hong-Xing Yu, Zexiang Xu, Kalyan Sunkavalli, Milos Hasan, Ravi Ramamoorthi, Manmohan Chandraker:
OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets. CVPR 2021: 7190-7199 - [c82]Masoud Faraki, Xiang Yu, Yi-Hsuan Tsai, Yumin Suh, Manmohan Chandraker:
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains. CVPR 2021: 15292-15301 - [c81]Sriram Narayanan, Ramin Moslemi, Francesco Pittaluga, Buyu Liu, Manmohan Chandraker:
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction. CVPR 2021: 15799-15808 - [c80]Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker:
Learning Cross-Modal Contrastive Features for Video Domain Adaptation. ICCV 2021: 13598-13607 - [c79]Ishit Mehta, Michaël Gharbi, Connelly Barnes, Eli Shechtman, Ravi Ramamoorthi, Manmohan Chandraker:
Modulated Periodic Activations for Generalizable Local Functional Representations. ICCV 2021: 14194-14203 - [c78]Raghava Modhugu, Harish Rithish Sethuram, Manmohan Chandraker, C. V. Jawahar:
Looking Farther in Parametric Scene Parsing with Ground and Aerial Imagery. ICRA 2021: 14091-14097 - [i57]Masoud Faraki, Xiang Yu, Yi-Hsuan Tsai, Yumin Suh, Manmohan Chandraker:
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains. CoRR abs/2103.07503 (2021) - [i56]Astuti Sharma, Tarun Kalluri, Manmohan Chandraker:
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation. CoRR abs/2104.01286 (2021) - [i55]Ishit Mehta, Michaël Gharbi, Connelly Barnes, Eli Shechtman, Ravi Ramamoorthi, Manmohan Chandraker:
Modulated Periodic Activations for Generalizable Local Functional Representations. CoRR abs/2104.03960 (2021) - [i54]Buyu Liu, Bingbing Zhuang, Manmohan Chandraker:
Weakly But Deeply Supervised Occlusion-Reasoned Parametric Layouts. CoRR abs/2104.06730 (2021) - [i53]Sriram Narayanan, Ramin Moslemi, Francesco Pittaluga, Buyu Liu, Manmohan Chandraker:
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction. CoRR abs/2104.08277 (2021) - [i52]Bingbing Zhuang, Manmohan Chandraker:
Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty. CoRR abs/2104.08278 (2021) - [i51]Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker:
Learning Cross-modal Contrastive Features for Video Domain Adaptation. CoRR abs/2108.11974 (2021) - [i50]Phoenix X. Huang, Wenze Hu, William Brendel, Manmohan Chandraker, Li-Jia Li, Xiaoyu Wang:
YMIR: A Rapid Data-centric Development Platform for Vision Applications. CoRR abs/2111.10046 (2021) - 2020
- [c77]Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang:
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. AAAI 2020: 12434-12441 - [c76]Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker:
Adaptation Across Extreme Variations using Unlabeled Bridges. BMVC 2020 - [c75]Ziyu Jiang, Buyu Liu, Samuel Schulter, Zhangyang Wang, Manmohan Chandraker:
Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations. CVPR 2020: 110-118 - [c74]Zhengqin Li, Yu-Ying Yeh, Manmohan Chandraker:
Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes. CVPR 2020: 1259-1268 - [c73]Zhengqin Li, Mohammad Shafiei, Ravi Ramamoorthi, Kalyan Sunkavalli, Manmohan Chandraker:
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single Image. CVPR 2020: 2472-2481 - [c72]Buyu Liu, Bingbing Zhuang, Samuel Schulter, Pan Ji, Manmohan Chandraker:
Understanding Road Layout From Videos as a Whole. CVPR 2020: 4413-4422 - [c71]Yichun Shi, Xiang Yu, Kihyuk Sohn, Manmohan Chandraker, Anil K. Jain:
Towards Universal Representation Learning for Deep Face Recognition. CVPR 2020: 6816-6825 - [c70]Yuqing Zhu, Xiang Yu, Manmohan Chandraker, Yu-Xiang Wang:
Private-kNN: Practical Differential Privacy for Computer Vision. CVPR 2020: 11851-11859 - [c69]Shen Sang, Manmohan Chandraker:
Single-Shot Neural Relighting and SVBRDF Estimation. ECCV (19) 2020: 85-101 - [c68]Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik G. Learned-Miller, Manmohan Chandraker:
Improving Face Recognition by Clustering Unlabeled Faces in the Wild. ECCV (24) 2020: 119-136 - [c67]Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu:
Object Detection with a Unified Label Space from Multiple Datasets. ECCV (14) 2020: 178-193 - [c66]Rui Zhu, Xingyi Yang, Yannick Hold-Geoffroy, Federico Perazzi, Jonathan Eisenmann, Kalyan Sunkavalli, Manmohan Chandraker:
Single View Metrology in the Wild. ECCV (11) 2020: 316-333 - [c65]Lokender Tiwari, Pan Ji, Quoc-Huy Tran, Bingbing Zhuang, Saket Anand, Manmohan Chandraker:
Pseudo RGB-D for Self-improving Monocular SLAM and Depth Prediction. ECCV (11) 2020: 437-455 - [c64]Sriram N. N, Buyu Liu, Francesco Pittaluga, Manmohan Chandraker:
SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction. ECCV (27) 2020: 463-479 - [c63]Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker:
Domain Adaptive Semantic Segmentation Using Weak Labels. ECCV (9) 2020: 571-587 - [c62]Yuliang Zou, Pan Ji, Quoc-Huy Tran, Jia-Bin Huang, Manmohan Chandraker:
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling. ECCV (14) 2020: 710-727 - [c61]You-Yi Jau, Rui Zhu, Hao Su, Manmohan Chandraker:
Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints. IROS 2020: 4950-4957 - [c60]Kunal Gupta, Manmohan Chandraker:
Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows. NeurIPS 2020 - [c59]Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker:
Active Adversarial Domain Adaptation. WACV 2020: 728-737 - [c58]Jinwoo Choi, Gaurav Sharma, Manmohan Chandraker, Jia-Bin Huang:
Unsupervised and Semi-Supervised Domain Adaptation for Action Recognition from Drones. WACV 2020: 1706-1715 - [c57]Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang:
DAVID: Dual-Attentional Video Deblurring. WACV 2020: 2365-2374 - [i49]Yichun Shi, Xiang Yu, Kihyuk Sohn, Manmohan Chandraker, Anil K. Jain:
Towards Universal Representation Learning for Deep Face Recognition. CoRR abs/2002.11841 (2020) - [i48]Lokender Tiwari, Pan Ji, Quoc-Huy Tran, Bingbing Zhuang, Saket Anand, Manmohan Chandraker:
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction. CoRR abs/2004.10681 (2020) - [i47]Zhengqin Li, Yu-Ying Yeh, Manmohan Chandraker:
Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes. CoRR abs/2004.10904 (2020) - [i46]Buyu Liu, Bingbing Zhuang, Samuel Schulter, Pan Ji, Manmohan Chandraker:
Understanding Road Layout from Videos as a Whole. CoRR abs/2007.00822 (2020) - [i45]Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik G. Learned-Miller, Manmohan Chandraker:
Improving Face Recognition by Clustering Unlabeled Faces in the Wild. CoRR abs/2007.06995 (2020) - [i44]Rui Zhu, Xingyi Yang, Yannick Hold-Geoffroy, Federico Perazzi, Jonathan Eisenmann, Kalyan Sunkavalli, Manmohan Chandraker:
Single View Metrology in the Wild. CoRR abs/2007.09529 (2020) - [i43]Kunal Gupta, Manmohan Chandraker:
Neural Mesh Flow: 3D Manifold Mesh Generationvia Diffeomorphic Flows. CoRR abs/2007.10973 (2020) - [i42]Yuliang Zou, Pan Ji, Quoc-Huy Tran, Jia-Bin Huang, Manmohan Chandraker:
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling. CoRR abs/2007.10983 (2020) - [i41]Zhengqin Li, Ting-Wei Yu, Shen Sang, Sarah Wang, Sai Bi, Zexiang Xu, Hong-Xing Yu, Kalyan Sunkavalli, Milos Hasan, Ravi Ramamoorthi, Manmohan Chandraker:
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets. CoRR abs/2007.12868 (2020) - [i40]Sriram N. N, Buyu Liu, Francesco Pittaluga, Manmohan Chandraker:
SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction. CoRR abs/2007.13078 (2020) - [i39]You-Yi Jau, Rui Zhu, Hao Su, Manmohan Chandraker:
Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints. CoRR abs/2007.15122 (2020) - [i38]Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker:
Domain Adaptive Semantic Segmentation Using Weak Labels. CoRR abs/2007.15176 (2020) - [i37]Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu:
Object Detection with a Unified Label Space from Multiple Datasets. CoRR abs/2008.06614 (2020) - [i36]Yuqing Zhu, Xiang Yu, Yi-Hsuan Tsai, Francesco Pittaluga, Masoud Faraki, Manmohan Chandraker, Yu-Xiang Wang:
Voting-based Approaches For Differentially Private Federated Learning. CoRR abs/2010.04851 (2020) - [i35]Junru Wu, Xiang Yu, Buyu Liu, Zhangyang Wang, Manmohan Chandraker:
Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing. CoRR abs/2011.14054 (2020) - [i34]Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran:
FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation. CoRR abs/2012.08512 (2020)
2010 – 2019
- 2019
- [j9]Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker:
Deep Supervision with Intermediate Concepts. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1828-1843 (2019) - [c56]Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker:
Active Adversarial Domain Adaptation. CVPR Workshops 2019: 1-4 - [c55]Luan Tran, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker:
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild. CVPR Workshops 2019: 65-74 - [c54]Luan Tran, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker:
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild. CVPR 2019: 2672-2681 - [c53]Bingbing Zhuang, Quoc-Huy Tran, Pan Ji, Loong-Fah Cheong, Manmohan Chandraker:
Learning Structure-And-Motion-Aware Rolling Shutter Correction. CVPR 2019: 4551-4560 - [c52]Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker:
Feature Transfer Learning for Face Recognition With Under-Represented Data. CVPR 2019: 5704-5713 - [c51]Ziyan Wang, Buyu Liu, Samuel Schulter, Manmohan Chandraker:
A Parametric Top-View Representation of Complex Road Scenes. CVPR 2019: 10325-10333 - [c50]Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker:
Domain Adaptation for Structured Output via Discriminative Patch Representations. ICCV 2019: 1456-1465 - [c49]Tarun Kalluri, Girish Varma, Manmohan Chandraker, C. V. Jawahar:
Universal Semi-Supervised Semantic Segmentation. ICCV 2019: 5258-5269 - [c48]Nataniel Ruiz, Samuel Schulter, Manmohan Chandraker:
Learning To Simulate. ICLR (Poster) 2019 - [c47]Kihyuk Sohn, Wenling Shang, Xiang Yu, Manmohan Chandraker:
Unsupervised Domain Adaptation for Distance Metric Learning. ICLR (Poster) 2019 - [c46]Bingbing Zhuang, Quoc-Huy Tran, Gim Hee Lee, Loong Fah Cheong, Manmohan Chandraker:
Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM. IROS 2019: 3766-3773 - [c45]Jonathan D. Stets, Zhengqin Li, Jeppe Revall Frisvad, Manmohan Chandraker:
Single-Shot Analysis of Refractive Shape Using Convolutional Neural Networks. WACV 2019: 995-1003 - [c44]Tuan-Hung Vu, Wongun Choi, Samuel Schulter, Manmohan Chandraker:
Memory Warps for Long-Term Online Video Representations and Anticipation. WACV 2019: 1156-1165 - [c43]Girish Varma, Anbumani Subramanian, Anoop M. Namboodiri, Manmohan Chandraker, C. V. Jawahar:
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments. WACV 2019: 1743-1751 - [i33]Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker:
Domain Adaptation for Structured Output via Discriminative Patch Representations. CoRR abs/1901.05427 (2019) - [i32]Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker:
Active Adversarial Domain Adaptation. CoRR abs/1904.07848 (2019) - [i31]Zhengqin Li, Mohammad Shafiei, Ravi Ramamoorthi, Kalyan Sunkavalli, Manmohan Chandraker:
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single Image. CoRR abs/1905.02722 (2019) - [i30]Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker:
Adaptation Across Extreme Variations using Unlabeled Domain Bridges. CoRR abs/1906.02238 (2019) - [i29]Feng-Ju Chang, Xiang Yu, Ram Nevatia, Manmohan Chandraker:
Pose-variant 3D Facial Attribute Generation. CoRR abs/1907.10202 (2019) - [i28]Bingbing Zhuang, Quoc-Huy Tran, Pan Ji, Gim Hee Lee, Loong Fah Cheong, Manmohan Chandraker:
Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM. CoRR abs/1907.13185 (2019) - [i27]Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang:
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. CoRR abs/1911.10143 (2019) - [i26]Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang:
DAVID: Dual-Attentional Video Deblurring. CoRR abs/1912.03445 (2019) - 2018
- [j8]Ting-Chun Wang, Manmohan Chandraker, Alexei A. Efros, Ravi Ramamoorthi:
SVBRDF-Invariant Shape and Reflectance Estimation from a Light-Field Camera. IEEE Trans. Pattern Anal. Mach. Intell. 40(3): 740-754 (2018) - [j7]Zhengqin Li, Zexiang Xu, Ravi Ramamoorthi, Kalyan Sunkavalli, Manmohan Chandraker:
Learning to reconstruct shape and spatially-varying reflectance from a single image. ACM Trans. Graph. 37(6): 269 (2018) - [c42]Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker:
Learning to Adapt Structured Output Space for Semantic Segmentation. CVPR 2018: 7472-7481 - [c41]Zhengqin Li, Kalyan Sunkavalli, Manmohan Chandraker:
Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image. ECCV (3) 2018: 74-90 - [c40]Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker:
Learning to Look around Objects for Top-View Representations of Outdoor Scenes. ECCV (15) 2018: 815-831 - [c39]Mohammed E. Fathy, Quoc-Huy Tran, M. Zeeshan Zia, Paul Vernaza, Manmohan Chandraker:
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences. ECCV (15) 2018: 832-850 - [c38]Zhengqin Li, Zak Murez, David J. Kriegman, Ravi Ramamoorthi, Manmohan Chandraker:
Learning to See Through Turbulent Water. WACV 2018: 512-520 - [i25]Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker:
Deep Supervision with Intermediate Concepts. CoRR abs/1801.03399 (2018) - [i24]Paul Vernaza, Manmohan Chandraker:
Learning random-walk label propagation for weakly-supervised semantic segmentation. CoRR abs/1802.00470 (2018) - [i23]Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker:
Learning to Adapt Structured Output Space for Semantic Segmentation. CoRR abs/1802.10349 (2018) - [i22]Luan Tran, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker:
Joint Pixel and Feature-level Domain Adaptation in the Wild. CoRR abs/1803.00068 (2018) - [i21]Mohammed E. Fathy, Quoc-Huy Tran, M. Zeeshan Zia, Paul Vernaza, Manmohan Chandraker:
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences. CoRR abs/1803.07231 (2018) - [i20]Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker:
Feature Transfer Learning for Deep Face Recognition with Long-Tail Data. CoRR abs/1803.09014 (2018) - [i19]Tuan-Hung Vu, Wongun Choi, Samuel Schulter, Manmohan Chandraker:
Memory Warps for Learning Long-Term Online Video Representations. CoRR abs/1803.10861 (2018) - [i18]Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker:
Learning to Look around Objects for Top-View Representations of Outdoor Scenes. CoRR abs/1803.10870 (2018) - [i17]Zhengqin Li, Kalyan Sunkavalli, Manmohan Chandraker:
Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image. CoRR abs/1804.05790 (2018) - [i16]Nataniel Ruiz, Samuel Schulter, Manmohan Chandraker:
Learning To Simulate. CoRR abs/1810.02513 (2018) - [i15]Girish Varma, Anbumani Subramanian, Anoop M. Namboodiri, Manmohan Chandraker, C. V. Jawahar:
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments. CoRR abs/1811.10200 (2018) - [i14]Tarun Kalluri, Girish Varma, Manmohan Chandraker, C. V. Jawahar:
Universal Semi-Supervised Semantic Segmentation. CoRR abs/1811.10323 (2018) - [i13]Ziyan Wang, Buyu Liu, Samuel Schulter, Manmohan Chandraker:
A Parametric Top-View Representation of Complex Road Scenes. CoRR abs/1812.06152 (2018) - 2017
- [c37]JunYoung Gwak, Christopher B. Choy, Manmohan Chandraker, Animesh Garg, Silvio Savarese:
Weakly Supervised 3D Reconstruction with Adversarial Constraint. 3DV 2017: 263-272 - [c36]Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker:
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing. CVPR 2017: 388-397 - [c35]Zhengqin Li, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker:
Robust Energy Minimization for BRDF-Invariant Shape from Light Fields. CVPR 2017: 578-586 - [c34]Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B. Choy, Philip H. S. Torr, Manmohan Chandraker:
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents. CVPR 2017: 2165-2174 - [c33]Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker:
Deep Network Flow for Multi-object Tracking. CVPR 2017: 2730-2739 - [c32]Paul Vernaza, Manmohan Chandraker:
Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation. CVPR 2017: 2953-2961 - [c31]Liang Zheng, Hengheng Zhang, Shaoyan Sun, Manmohan Chandraker, Yi Yang, Qi Tian:
Person Re-identification in the Wild. CVPR 2017: 3346-3355 - [c30]Xi Peng, Xiang Yu, Kihyuk Sohn, Dimitris N. Metaxas, Manmohan Chandraker:
Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition. ICCV 2017: 1632-1641 - [c29]Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker:
Towards Large-Pose Face Frontalization in the Wild. ICCV 2017: 4010-4019 - [c28]Kihyuk Sohn, Sifei Liu, Guangyu Zhong, Xiang Yu, Ming-Hsuan Yang, Manmohan Chandraker:
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos. ICCV 2017: 5917-5925 - [c27]Guobin Chen, Wongun Choi, Xiang Yu, Tony X. Han, Manmohan Chandraker:
Learning Efficient Object Detection Models with Knowledge Distillation. NIPS 2017: 742-751 - [i12]Xi Peng, Xiang Yu, Kihyuk Sohn, Dimitris N. Metaxas, Manmohan Chandraker:
Reconstruction for Feature Disentanglement in Pose-invariant Face Recognition. CoRR abs/1702.03041 (2017) - [i11]Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B. Choy, Philip H. S. Torr, Manmohan Krishna Chandraker:
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents. CoRR abs/1704.04394 (2017) - [i10]Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker:
Towards Large-Pose Face Frontalization in the Wild. CoRR abs/1704.06244 (2017) - [i9]JunYoung Gwak, Christopher B. Choy, Animesh Garg, Manmohan Chandraker, Silvio Savarese:
Weakly Supervised Generative Adversarial Networks for 3D Reconstruction. CoRR abs/1705.10904 (2017) - [i8]Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker:
Deep Network Flow for Multi-Object Tracking. CoRR abs/1706.08482 (2017) - [i7]Kihyuk Sohn, Sifei Liu, Guangyu Zhong, Xiang Yu, Ming-Hsuan Yang, Manmohan Chandraker:
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos. CoRR abs/1708.02191 (2017) - 2016
- [j6]Shiyu Song, Manmohan Chandraker, Clark C. Guest:
High Accuracy Monocular SFM and Scale Correction for Autonomous Driving. IEEE Trans. Pattern Anal. Mach. Intell. 38(4): 730-743 (2016) - [j5]Manmohan Chandraker:
The Information Available to a Moving Observer on Shape with Unknown, Isotropic BRDFs. IEEE Trans. Pattern Anal. Mach. Intell. 38(7): 1283-1297 (2016) - [c26]Angjoo Kanazawa, David W. Jacobs, Manmohan Chandraker:
WarpNet: Weakly Supervised Matching for Single-View Reconstruction. CVPR 2016: 3253-3261 - [c25]Vikas Dhiman, Quoc-Huy Tran, Jason J. Corso, Manmohan Chandraker:
A Continuous Occlusion Model for Road Scene Understanding. CVPR 2016: 4331-4339 - [c24]Ting-Chun Wang, Manmohan Chandraker, Alexei A. Efros, Ravi Ramamoorthi:
SVBRDF-Invariant Shape and Reflectance Estimation from Light-Field Cameras. CVPR 2016: 5451-5459 - [c23]Xiang Yu, Feng Zhou, Manmohan Chandraker:
Deep Deformation Network for Object Landmark Localization. ECCV (5) 2016: 52-70 - [c22]Ting-Chun Wang, Jun-Yan Zhu, Hiroaki Ebi, Manmohan Chandraker, Alexei A. Efros, Ravi Ramamoorthi:
A 4D Light-Field Dataset and CNN Architectures for Material Recognition. ECCV (3) 2016: 121-138 - [c21]Christopher B. Choy, JunYoung Gwak, Silvio Savarese, Manmohan Krishna Chandraker:
Universal Correspondence Network. NIPS 2016: 2406-2414 - [c20]Chao-Yeh Chen, Wongun Choi, Manmohan Chandraker:
Atomic scenes for scalable traffic scene recognition in monocular videos. WACV 2016: 1-9 - [i6]Liang Zheng, Hengheng Zhang, Shaoyan Sun, Manmohan Chandraker, Qi Tian:
Person Re-identification in the Wild. CoRR abs/1604.02531 (2016) - [i5]Angjoo Kanazawa, David W. Jacobs, Manmohan Chandraker:
WarpNet: Weakly Supervised Matching for Single-view Reconstruction. CoRR abs/1604.05592 (2016) - [i4]Xiang Yu, Feng Zhou, Manmohan Chandraker:
Deep Deformation Network for Object Landmark Localization. CoRR abs/1605.01014 (2016) - [i3]Christopher B. Choy, JunYoung Gwak, Silvio Savarese, Manmohan Chandraker:
Universal Correspondence Network. CoRR abs/1606.03558 (2016) - [i2]Ting-Chun Wang, Jun-Yan Zhu, Hiroaki Ebi, Manmohan Chandraker, Alexei A. Efros, Ravi Ramamoorthi:
A 4D Light-Field Dataset and CNN Architectures for Material Recognition. CoRR abs/1608.06985 (2016) - [i1]Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker:
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing. CoRR abs/1612.02699 (2016) - 2015
- [c19]Shiyu Song, Manmohan Chandraker:
Joint SFM and detection cues for monocular 3D localization in road scenes. CVPR 2015: 3734-3742 - 2014
- [c18]Shiyu Song, Manmohan Chandraker:
Robust Scale Estimation in Real-Time Monocular SFM for Autonomous Driving. CVPR 2014: 1566-1573 - [c17]Manmohan Chandraker:
What Camera Motion Reveals about Shape with Unknown BRDF. CVPR 2014: 2179-2186 - [c16]Manmohan Chandraker:
On Shape and Material Recovery from Motion. ECCV (7) 2014: 202-217 - [r1]Manmohan Chandraker:
Bas-Relief Ambiguity. Computer Vision, A Reference Guide 2014: 43-46 - 2013
- [j4]Manmohan Krishna Chandraker, Jiamin Bai, Ravi Ramamoorthi:
On Differential Photometric Reconstruction for Unknown, Isotropic BRDFs. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2941-2955 (2013) - [c15]Sid Ying-Ze Bao, Manmohan Chandraker, Yuanqing Lin, Silvio Savarese:
Dense Object Reconstruction with Semantic Priors. CVPR 2013: 1264-1271 - [c14]Manmohan Krishna Chandraker, Dikpal Reddy, Yizhou Wang, Ravi Ramamoorthi:
What Object Motion Reveals about Shape with Unknown BRDF and Lighting. CVPR 2013: 2523-2530 - [c13]Shiyu Song, Manmohan Chandraker, Clark C. Guest:
Parallel, real-time monocular visual odometry. ICRA 2013: 4698-4705 - 2011
- [j3]Manmohan Krishna Chandraker, Jiamin Bai, Tian-Tsong Ng, Ravi Ramamoorthi:
On the Duality of Forward and Inverse Light Transport. IEEE Trans. Pattern Anal. Mach. Intell. 33(10): 2122-2128 (2011) - [c12]Manmohan Krishna Chandraker, Jiamin Bai, Ravi Ramamoorthi:
A theory of differential photometric stereo for unknown isotropic BRDFs. CVPR 2011: 2505-2512 - [c11]Manmohan Krishna Chandraker, Ravi Ramamoorthi:
What an image reveals about material reflectance. ICCV 2011: 1076-1083 - 2010
- [j2]Manmohan Krishna Chandraker, Sameer Agarwal, David J. Kriegman, Serge J. Belongie:
Globally Optimal Algorithms for Stratified Autocalibration. Int. J. Comput. Vis. 90(2): 236-254 (2010) - [c10]Jiamin Bai, Manmohan Krishna Chandraker, Tian-Tsong Ng, Ravi Ramamoorthi:
A Dual Theory of Inverse and Forward Light Transport. ECCV (2) 2010: 294-307
2000 – 2009
- 2009
- [b1]Manmohan Krishna Chandraker:
From pictures to 3D : global optimization for scene reconstruction. University of California, San Diego, USA, 2009 - [c9]Manmohan Krishna Chandraker, Jongwoo Lim, David J. Kriegman:
Moving in stereo: Efficient structure and motion using lines. ICCV 2009: 1741-1748 - 2008
- [j1]Fredrik Kahl, Sameer Agarwal, Manmohan Krishna Chandraker, David J. Kriegman, Serge J. Belongie:
Practical Global Optimization for Multiview Geometry. Int. J. Comput. Vis. 79(3): 271-284 (2008) - [c8]Manmohan Krishna Chandraker, David J. Kriegman:
Globally optimal bilinear programming for computer vision applications. CVPR 2008 - 2007
- [c7]Manmohan Krishna Chandraker, Sameer Agarwal, David J. Kriegman:
ShadowCuts: Photometric Stereo with Shadows. CVPR 2007 - [c6]Manmohan Krishna Chandraker, Sameer Agarwal, Fredrik Kahl, David Nistér, David J. Kriegman:
Autocalibration via Rank-Constrained Estimation of the Absolute Quadric. CVPR 2007 - [c5]Manmohan Krishna Chandraker, Sameer Agarwal, David J. Kriegman, Serge J. Belongie:
Globally Optimal Affine and Metric Upgrades in Stratified Autocalibration. ICCV 2007: 1-8 - [c4]Ankur Agarwal, Shahram Izadi, Manmohan Chandraker, Andrew Blake:
High Precision Multi-touch Sensing on Surfaces using Overhead Cameras. Tabletop 2007: 197-200 - 2006
- [c3]Sameer Agarwal, Manmohan Krishna Chandraker, Fredrik Kahl, David J. Kriegman, Serge J. Belongie:
Practical Global Optimization for Multiview Geometry. ECCV (1) 2006: 592-605 - 2005
- [c2]Manmohan Krishna Chandraker, Fredrik Kahl, David J. Kriegman:
Reflections on the Generalized Bas-Relief Ambiguity. CVPR (1) 2005: 788-795 - 2003
- [c1]Manmohan Krishna Chandraker, Christoph Stock, Axel Pinz:
Real-Time Camera Pose in a Room. ICVS 2003: 98-110
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-12-11 21:40 CET by the dblp team
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