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2020 – today
- 2024
[c101]Zehao Zhu, Jiashun Wang, Yuzhe Qin, Deqing Sun, Varun Jampani, Xiaolong Wang:
ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation. 3DV 2024: 201-212- [c100]Pakkapon Phongthawee, Worameth Chinchuthakun, Nontaphat Sinsunthithet, Varun Jampani, Amit Raj, Pramook Khungurn, Supasorn Suwajanakorn:
DiffusionLight: Light Probes for Free by Painting a Chrome Ball. CVPR 2024: 98-108 - [c99]Junyi Zhang, Charles Herrmann, Junhwa Hur, Eric Chen, Varun Jampani, Deqing Sun, Ming-Hsuan Yang:
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence. CVPR 2024: 3076-3085 - [c98]Gen Li, Deqing Sun, Laura Sevilla-Lara, Varun Jampani:
One-Shot Open Affordance Learning with Foundation Models. CVPR 2024: 3086-3096 - [c97]Lu Qi, Lehan Yang, Weidong Guo, Yu Xu, Bo Du, Varun Jampani, Ming-Hsuan Yang:
UniGS: Unified Representation for Image Generation and Segmentation. CVPR 2024: 6305-6315 - [c96]Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Wei Wei, Tingbo Hou, Yael Pritch, Neal Wadhwa, Michael Rubinstein, Kfir Aberman:
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models. CVPR 2024: 6527-6536 - [c95]Hanzhe Hu, Zhizhuo Zhou, Varun Jampani, Shubham Tulsiani:
MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation. CVPR 2024: 9698-9707 - [c94]Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg:
ZeroShape: Regression-Based Zero-Shot Shape Reconstruction. CVPR 2024: 10061-10071 - [c93]Andreas Engelhardt, Amit Raj, Mark Boss, Yunzhi Zhang, Abhishek Kar, Yuanzhen Li, Deqing Sun, Ricardo Martin-Brualla, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani:
SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild. CVPR 2024: 19636-19646 - [c92]Ethan Weber, Aleksander Holynski, Varun Jampani, Saurabh Saxena, Noah Snavely, Abhishek Kar, Angjoo Kanazawa:
NeRFiller: Completing Scenes via Generative 3D Inpainting. CVPR 2024: 20731-20741 - [c91]Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas J. Guibas, Justin Johnson, Varun Jampani:
Probing the 3D Awareness of Visual Foundation Models. CVPR 2024: 21795-21806 - [c90]Prafull Sharma, Varun Jampani, Yuanzhen Li, Xuhui Jia, Dmitry Lagun, Frédo Durand, Bill Freeman, Mark J. Matthews:
Alchemist: Parametric Control of Material Properties with Diffusion Models. CVPR 2024: 24130-24141 - [c89]Xiaoshuai Zhang, Zhicheng Wang, Howard Zhou, Soham Ghosh, Danushen Gnanapragasam, Varun Jampani, Hao Su, Leonidas J. Guibas:
CONDENSE: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images. ECCV (54) 2024: 19-38 - [c88]Ta Ying Cheng, Prafull Sharma, Andrew Markham, Niki Trigoni, Varun Jampani:
ZeST: Zero-Shot Material Transfer from a Single Image. ECCV (1) 2024: 370-386 - [c87]Yunzhi Zhang
, Zizhang Li, Amit Raj, Andreas Engelhardt, Yuanzhen Li, Tingbo Hou, Jiajun Wu, Varun Jampani:
3D Congealing: 3D-Aware Image Alignment in the Wild. ECCV (1) 2024: 387-404 - [c86]Lei Zhong, Yiming Xie, Varun Jampani, Deqing Sun, Huaizu Jiang:
SMooDi: Stylized Motion Diffusion Model. ECCV (1) 2024: 405-421 - [c85]Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani:
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs. ECCV (1) 2024: 422-438 - [c84]Vikram Voleti, Chun-Han Yao, Mark Boss, Adam Letts, David Pankratz, Dmitry Tochilkin, Christian Laforte, Robin Rombach, Varun Jampani:
SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image Using Latent Video Diffusion. ECCV (1) 2024: 439-457 - [c83]Astitva Srivastava, Pranav Manu, Amit Raj, Varun Jampani, Avinash Sharma:
WordRobe: Text-Guided Generation of Textured 3D Garments. ECCV (1) 2024: 458-475 - [c82]Arjun R. Akula, Garima Pruthi, Inderjit S. Dhillon, Pradyumna Narayana, Sugato Basu, Varun Jampani:
PRISM: A New Lens for Improved Color Understanding. EMNLP (Industry Track) 2024: 1659-1670 - [c81]Yiming Xie, Varun Jampani, Lei Zhong, Deqing Sun, Huaizu Jiang:
OmniControl: Control Any Joint at Any Time for Human Motion Generation. ICLR 2024 - [i112]Shanthika Naik, Kunwar Singh, Astitva Srivastava, Dhawal Sirikonda, Amit Raj, Varun Jampani, Avinash Sharma:
Dress-Me-Up: A Dataset & Method for Self-Supervised 3D Garment Retargeting. CoRR abs/2401.03108 (2024) - [i111]Andreas Engelhardt, Amit Raj, Mark Boss, Yunzhi Zhang, Abhishek Kar, Yuanzhen Li, Deqing Sun, Ricardo Martin-Brualla, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani:
SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild. CoRR abs/2401.10171 (2024) - [i110]Dmitry Tochilkin, David Pankratz, ZeXiang Liu, Zixuan Huang, Adam Letts, Yangguang Li, Ding Liang, Christian Laforte, Varun Jampani, Yan-Pei Cao:
TripoSR: Fast 3D Object Reconstruction from a Single Image. CoRR abs/2403.02151 (2024) - [i109]Vikram Voleti, Chun-Han Yao, Mark Boss, Adam Letts, David Pankratz, Dmitry Tochilkin, Christian Laforte, Robin Rombach, Varun Jampani:
SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion. CoRR abs/2403.12008 (2024) - [i108]Astitva Srivastava, Pranav Manu, Amit Raj, Varun Jampani, Avinash Sharma:
WordRobe: Text-Guided Generation of Textured 3D Garments. CoRR abs/2403.17541 (2024) - [i107]Yunzhi Zhang, Zizhang Li, Amit Raj, Andreas Engelhardt, Yuanzhen Li, Tingbo Hou, Jiajun Wu, Varun Jampani:
3D Congealing: 3D-Aware Image Alignment in the Wild. CoRR abs/2404.02125 (2024) - [i106]Hanzhe Hu, Zhizhuo Zhou, Varun Jampani, Shubham Tulsiani:
MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation. CoRR abs/2404.03656 (2024) - [i105]Ta Ying Cheng, Prafull Sharma, Andrew Markham, Niki Trigoni, Varun Jampani:
ZeST: Zero-Shot Material Transfer from a Single Image. CoRR abs/2404.06425 (2024) - [i104]Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas J. Guibas, Justin Johnson, Varun Jampani:
Probing the 3D Awareness of Visual Foundation Models. CoRR abs/2404.08636 (2024) - [i103]Faraz Faruqi, Yingtao Tian, Vrushank Phadnis, Varun Jampani, Stefanie Mueller:
Shaping Realities: Enhancing 3D Generative AI with Fabrication Constraints. CoRR abs/2404.10142 (2024) - [i102]Maciej Kilian, Varun Jampani, Luke Zettlemoyer:
Computational Tradeoffs in Image Synthesis: Diffusion, Masked-Token, and Next-Token Prediction. CoRR abs/2405.13218 (2024) - [i101]Vishnu Jaganathan, Hannah Hanyun Huang, Muhammad Zubair Irshad, Varun Jampani, Amit Raj, Zsolt Kira:
ICE-G: Image Conditional Editing of 3D Gaussian Splats. CoRR abs/2406.08488 (2024) - [i100]Ruihuang Li, Liyi Chen, Zhengqiang Zhang, Varun Jampani, Vishal M. Patel, Lei Zhang:
SyncNoise: Geometrically Consistent Noise Prediction for Text-based 3D Scene Editing. CoRR abs/2406.17396 (2024) - [i99]Hieu T. Nguyen, Yiwen Chen, Vikram Voleti, Varun Jampani, Huaizu Jiang:
HouseCrafter: Lifting Floorplans to 3D Scenes with 2D Diffusion Model. CoRR abs/2406.20077 (2024) - [i98]Benno Krojer, Dheeraj Vattikonda, Luis Lara, Varun Jampani, Eva Portelance, Christopher Pal, Siva Reddy:
Learning Action and Reasoning-Centric Image Editing from Videos and Simulations. CoRR abs/2407.03471 (2024) - [i97]Lei Zhong, Yiming Xie, Varun Jampani, Deqing Sun, Huaizu Jiang:
SMooDi: Stylized Motion Diffusion Model. CoRR abs/2407.12783 (2024) - [i96]Yiming Xie, Chun-Han Yao, Vikram Voleti, Huaizu Jiang, Varun Jampani:
SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency. CoRR abs/2407.17470 (2024) - [i95]Mark Boss, Zixuan Huang, Aaryaman Vasishta, Varun Jampani:
SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement. CoRR abs/2408.00653 (2024) - [i94]Xiaoshuai Zhang, Zhicheng Wang, Howard Zhou, Soham Ghosh, Danushen Gnanapragasam, Varun Jampani, Hao Su, Leonidas J. Guibas:
ConDense: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images. CoRR abs/2408.17027 (2024) - [i93]Junyi Zhang, Charles Herrmann, Junhwa Hur, Varun Jampani, Trevor Darrell, Forrester Cole, Deqing Sun, Ming-Hsuan Yang:
MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion. CoRR abs/2410.03825 (2024) - [i92]Chongjian Ge, Chenfeng Xu, Yuanfeng Ji, Chensheng Peng, Masayoshi Tomizuka, Ping Luo, Mingyu Ding, Varun Jampani, Wei Zhan:
CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians. CoRR abs/2410.20723 (2024) - 2023
- [c80]Zhiwei Jia, Pradyumna Narayana, Arjun R. Akula, Garima Pruthi, Hao Su, Sugato Basu, Varun Jampani:
KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models. ACL (industry) 2023: 772-785 - [c79]Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble. CVPR 2023: 4853-4862 - [c78]Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali, Varun Jampani, R. Venkatesh Babu:
NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs. CVPR 2023: 5987-5996 - [c77]Gen Li, Varun Jampani, Deqing Sun, Laura Sevilla-Lara:
LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding. CVPR 2023: 10922-10931 - [c76]Zixuan Huang, Varun Jampani, Anh Thai, Yuanzhen Li, Stefan Stojanov, James M. Rehg:
ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-Based Consistency. CVPR 2023: 12912-12922 - [c75]Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman:
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. CVPR 2023: 22500-22510 - [c74]Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani:
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CVPR 2023: 23201-23211 - [c73]Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan T. Barron, Yuanzhen Li, Varun Jampani:
DreamBooth3D: Subject-Driven Text-to-3D Generation. ICCV 2023: 2349-2359 - [c72]Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar:
ASIC: Aligning Sparse in-the-wild Image Collections. ICCV 2023: 4111-4122 - [c71]Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia:
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs. ICCV 2023: 18266-18275 - [c70]Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang:
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. ICLR 2023 - [c69]Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang:
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. NeurIPS 2023 - [c68]Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araújo, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou:
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. NeurIPS 2023 - [c67]Chun-Han Yao, Amit Raj, Wei-Chih Hung, Michael Rubinstein, Yuanzhen Li, Ming-Hsuan Yang, Varun Jampani:
ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections. NeurIPS 2023 - [c66]Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa Polania Cabrera, Varun Jampani, Deqing Sun, Ming-Hsuan Yang:
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence. NeurIPS 2023 - [i91]Ching-Yao Chuang, Varun Jampani, Yuanzhen Li, Antonio Torralba, Stefanie Jegelka:
Debiasing Vision-Language Models via Biased Prompts. CoRR abs/2302.00070 (2023) - [i90]Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas A. Funkhouser, Bharath Hariharan, Serge J. Belongie:
Polynomial Neural Fields for Subband Decomposition and Manipulation. CoRR abs/2302.04862 (2023) - [i89]Gen Li, Varun Jampani, Deqing Sun, Laura Sevilla-Lara:
LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding. CoRR abs/2303.09665 (2023) - [i88]Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan T. Barron, Yuanzhen Li, Varun Jampani:
DreamBooth3D: Subject-Driven Text-to-3D Generation. CoRR abs/2303.13508 (2023) - [i87]Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar:
ASIC: Aligning Sparse in-the-wild Image Collections. CoRR abs/2303.16201 (2023) - [i86]Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali, Varun Jampani, R. Venkatesh Babu:
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs. CoRR abs/2304.05866 (2023) - [i85]Zixuan Huang, Varun Jampani, Anh Thai, Yuanzhen Li, Stefan Stojanov, James M. Rehg:
ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-based Consistency. CoRR abs/2304.06247 (2023) - [i84]Zehao Zhu, Jiashun Wang, Yuzhe Qin, Deqing Sun, Varun Jampani, Xiaolong Wang:
ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation. CoRR abs/2305.01618 (2023) - [i83]Xuehai He, Weixi Feng, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang:
Discriminative Diffusion Models as Few-shot Vision and Language Learners. CoRR abs/2305.10722 (2023) - [i82]Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa Polania Cabrera, Varun Jampani, Deqing Sun, Ming-Hsuan Yang:
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence. CoRR abs/2305.15347 (2023) - [i81]Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang:
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. CoRR abs/2305.15393 (2023) - [i80]Zhiwei Jia, Pradyumna Narayana, Arjun R. Akula, Garima Pruthi, Hao Su, Sugato Basu, Varun Jampani:
KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models. CoRR abs/2305.18373 (2023) - [i79]Chun-Han Yao, Amit Raj, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections. CoRR abs/2306.04619 (2023) - [i78]Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia:
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs. CoRR abs/2306.05410 (2023) - [i77]Manel Baradad, Yuanzhen Li, Forrester Cole, Michael Rubinstein, Antonio Torralba, William T. Freeman, Varun Jampani:
Background Prompting for Improved Object Depth. CoRR abs/2306.05428 (2023) - [i76]Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araújo, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou:
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. CoRR abs/2306.09109 (2023) - [i75]Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Wei Wei, Tingbo Hou, Yael Pritch, Neal Wadhwa, Michael Rubinstein, Kfir Aberman:
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models. CoRR abs/2307.06949 (2023) - [i74]Yiming Xie, Varun Jampani, Lei Zhong, Deqing Sun, Huaizu Jiang:
OmniControl: Control Any Joint at Any Time for Human Motion Generation. CoRR abs/2310.08580 (2023) - [i73]Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani:
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs. CoRR abs/2311.13600 (2023) - [i72]Andreas Blattmann, Tim Dockhorn, Sumith Kulal, Daniel Mendelevitch, Maciej Kilian, Dominik Lorenz, Yam Levi, Zion English, Vikram Voleti, Adam Letts, Varun Jampani, Robin Rombach:
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets. CoRR abs/2311.15127 (2023) - [i71]Rishubh Parihar, Prasanna Balaji, Raghav Magazine, Sarthak Vora, Tejan Karmali, Varun Jampani, R. Venkatesh Babu:
Exploring Attribute Variations in Style-based GANs using Diffusion Models. CoRR abs/2311.16052 (2023) - [i70]Junyi Zhang, Charles Herrmann, Junhwa Hur, Eric Chen, Varun Jampani, Deqing Sun, Ming-Hsuan Yang:
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence. CoRR abs/2311.17034 (2023) - [i69]Gen Li, Deqing Sun, Laura Sevilla-Lara, Varun Jampani:
One-Shot Open Affordance Learning with Foundation Models. CoRR abs/2311.17776 (2023) - [i68]Lu Qi, Lehan Yang, Weidong Guo, Yu Xu, Bo Du, Varun Jampani, Ming-Hsuan Yang:
UniGS: Unified Representation for Image Generation and Segmentation. CoRR abs/2312.01985 (2023) - [i67]Prafull Sharma, Varun Jampani, Yuanzhen Li, Xuhui Jia, Dmitry Lagun, Frédo Durand, William T. Freeman, Mark J. Matthews:
Alchemist: Parametric Control of Material Properties with Diffusion Models. CoRR abs/2312.02970 (2023) - [i66]Ethan Weber, Aleksander Holynski, Varun Jampani, Saurabh Saxena, Noah Snavely, Abhishek Kar, Angjoo Kanazawa:
NeRFiller: Completing Scenes via Generative 3D Inpainting. CoRR abs/2312.04560 (2023) - [i65]Xiaogang Peng, Yiming Xie, Zizhao Wu, Varun Jampani, Deqing Sun, Huaizu Jiang:
HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions using Diffusion Models. CoRR abs/2312.06553 (2023) - [i64]Pakkapon Phongthawee, Worameth Chinchuthakun, Nontaphat Sinsunthithet, Amit Raj, Varun Jampani, Pramook Khungurn, Supasorn Suwajanakorn:
DiffusionLight: Light Probes for Free by Painting a Chrome Ball. CoRR abs/2312.09168 (2023) - [i63]Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg:
ZeroShape: Regression-based Zero-shot Shape Reconstruction. CoRR abs/2312.14198 (2023) - 2022
- [c65]Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Varun Jampani, Venkatesh Babu Radhakrishnan:
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation. AAAI 2022: 1220-1227 - [c64]Tewodros Habtegebrial, Christiano Couto Gava, Marcel Rogge, Didier Stricker, Varun Jampani:
SOMSI: Spherical Novel View Synthesis with Soft Occlusion Multi-Sphere Images. CVPR 2022: 15704-15713 - [c63]Kieran A. Murphy, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia:
Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision. CVPR 2022: 15989-15999 - [c62]Jogendra Nath Kundu, Siddharth Seth, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu:
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation. CVPR 2022: 20416-20427 - [c61]Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu:
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation. ECCV (30) 2022: 177-194 - [c60]Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu:
Improving GANs for Long-Tailed Data Through Group Spectral Regularization. ECCV (15) 2022: 426-442 - [c59]Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Kumar Singh, R. Venkatesh Babu:
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. ECCV (15) 2022: 443-459 - [c58]Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg:
Planes vs. Chairs: Category-Guided 3D Shape Learning Without any 3D Cues. ECCV (1) 2022: 727-744 - [c57]Xuehai He, Diji Yang, Weixi Feng, Tsu-Jui Fu, Arjun R. Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Wang:
CPL: Counterfactual Prompt Learning for Vision and Language Models. EMNLP 2022: 3407-3418 - [c56]Rakesh Jasti, Varun Jampani, Deqing Sun, Ming-Hsuan Yang:
Multi-Frame Video Prediction with Learnable Motion Encodings. ICIP 2022: 4198-4202 - [c55]Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang:
ViDT: An Efficient and Effective Fully Transformer-based Object Detector. ICLR 2022 - [c54]Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Deepesh Mehta, Shreyas Anand Kulkarni, Varun Jampani, Venkatesh Babu Radhakrishnan:
Balancing Discriminability and Transferability for Source-Free Domain Adaptation. ICML 2022: 11710-11728 - [c53]Mark Boss, Andreas Engelhardt, Abhishek Kar, Yuanzhen Li, Deqing Sun, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani:
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections. NeurIPS 2022 - [c52]Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, Venkatesh Babu R.:
Subsidiary Prototype Alignment for Universal Domain Adaptation. NeurIPS 2022 - [c51]Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas A. Funkhouser, Bharath Hariharan, Serge J. Belongie:
Polynomial Neural Fields for Subband Decomposition and Manipulation. NeurIPS 2022 - [c50]Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery. NeurIPS 2022 - [c49]Tejan Karmali, Abhinav Atrishi, Sai Sree Harsha, Susmit Agrawal, Varun Jampani, R. Venkatesh Babu:
LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity. WACV 2022: 3046-3055 - [i62]Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Varun Jampani, R. Venkatesh Babu:
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation. CoRR abs/2202.04287 (2022) - [i61]Jogendra Nath Kundu, Siddharth Seth, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu:
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation. CoRR abs/2203.15293 (2022) - [i60]Mugalodi Rakesh, Jogendra Nath Kundu, Varun Jampani, R. Venkatesh Babu:
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery. CoRR abs/2204.01276 (2022) - [i59]Jogendra Nath Kundu, Siddharth Seth, Anirudh Jamkhandi, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu:
Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation. CoRR abs/2204.01971 (2022) - [i58]Tejan Karmali, Abhinav Atrishi, Sai Sree Harsha, Susmit Agrawal, Varun Jampani, R. Venkatesh Babu:
LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity. CoRR abs/2204.02958 (2022) - [i57]Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang:
An Extendable, Efficient and Effective Transformer-based Object Detector. CoRR abs/2204.07962 (2022) - [i56]Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg:
Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues. CoRR abs/2204.10235 (2022) - [i55]Mark Boss, Andreas Engelhardt, Abhishek Kar, Yuanzhen Li, Deqing Sun, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani:
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections. CoRR abs/2205.15768 (2022) - [i54]Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Deepesh Mehta, Shreyas Anand Kulkarni, Varun Jampani, R. Venkatesh Babu:
Balancing Discriminability and Transferability for Source-Free Domain Adaptation. CoRR abs/2206.08009 (2022) - [i53]Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery. CoRR abs/2207.03434 (2022) - [i52]Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu:
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation. CoRR abs/2207.13247 (2022) - [i51]Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Singh, R. Venkatesh Babu:
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. CoRR abs/2208.03764 (2022) - [i50]Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu:
Improving GANs for Long-Tailed Data through Group Spectral Regularization. CoRR abs/2208.09932 (2022) - [i49]Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman:
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. CoRR abs/2208.12242 (2022) - [i48]Xuehai He, Diji Yang, Weixi Feng, Tsu-Jui Fu, Arjun R. Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang:
CPL: Counterfactual Prompt Learning for Vision and Language Models. CoRR abs/2210.10362 (2022) - [i47]Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu:
Subsidiary Prototype Alignment for Universal Domain Adaptation. CoRR abs/2210.15909 (2022) - [i46]Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang:
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. CoRR abs/2212.05032 (2022) - [i45]Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani:
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CoRR abs/2212.09898 (2022) - [i44]Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble. CoRR abs/2212.11042 (2022) - 2021
- [c48]Hwanjun Song, Eunyoung Kim, Varun Jampani, Deqing Sun, Jae-Gil Lee, Ming-Hsuan Yang:
Exploiting Scene Depth for Object Detection with Multimodal Transformers. BMVC 2021: 265 - [c47]Jingkai Zhou, Varun Jampani, Zhixiong Pi, Qiong Liu, Ming-Hsuan Yang:
Decoupled Dynamic Filter Networks. CVPR 2021: 6647-6656 - [c46]Gen Li, Varun Jampani, Laura Sevilla-Lara, Deqing Sun, Jonghyun Kim, Joongkyu Kim:
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation. CVPR 2021: 8334-8343 - [c45]Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu:
AutoFlow: Learning a Better Training Set for Optical Flow. CVPR 2021: 10093-10102 - [c44]Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu:
LASR: Learning Articulated Shape Reconstruction From a Monocular Video. CVPR 2021: 15980-15989 - [c43]Jogendra Nath Kundu, Akshay R. Kulkarni, Amit Singh, Varun Jampani, R. Venkatesh Babu:
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation. ICCV 2021: 7026-7036 - [c42]Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu:
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. ICCV 2021: 12498-12507 - [c41]Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch:
NeRD: Neural Reflectance Decomposition from Image Collections. ICCV 2021: 12664-12674 - [c40]Chun-Han Yao, Wei-Chih Hung, Varun Jampani, Ming-Hsuan Yang:
Discovering 3D Parts from Image Collections. ICCV 2021: 12961-12970 - [c39]Andrew Liu, Ameesh Makadia, Richard Tucker, Noah Snavely, Varun Jampani, Angjoo Kanazawa:
Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image. ICCV 2021: 14438-14447 - [c38]Kieran A. Murphy, Carlos Esteves, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia:
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold. ICML 2021: 7882-7893 - [c37]Jogendra Nath Kundu, Siddharth Seth, Anirudh Jamkhandi, Pradyumna YM, Varun Jampani, Anirban Chakraborty, Venkatesh Babu R.:
Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation. NeurIPS 2021: 158-171 - [c36]Mugalodi Rakesh, Jogendra Nath Kundu, Varun Jampani, Venkatesh Babu R.:
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery. NeurIPS 2021: 4582-4593 - [c35]Mark Boss, Varun Jampani, Raphael Braun, Ce Liu, Jonathan T. Barron, Hendrik P. A. Lensch:
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition. NeurIPS 2021: 10691-10704 - [c34]Arjun R. Akula, Varun Jampani, Soravit Changpinyo, Song-Chun Zhu:
Robust Visual Reasoning via Language Guided Neural Module Networks. NeurIPS 2021: 11041-11053 - [c33]Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Ce Liu, Deva Ramanan:
ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction. NeurIPS 2021: 19326-19338 - [i43]Kieran A. Murphy, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia:
There and back again: Cycle consistency across sets for isolating factors of variation. CoRR abs/2103.03240 (2021) - [i42]Gen Li, Varun Jampani, Laura Sevilla-Lara, Deqing Sun, Jonghyun Kim, Joongkyu Kim:
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation. CoRR abs/2104.01893 (2021) - [i41]Jingkai Zhou, Varun Jampani, Zhixiong Pi, Qiong Liu, Ming-Hsuan Yang:
Decoupled Dynamic Filter Networks. CoRR abs/2104.14107 (2021) - [i40]Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu:
AutoFlow: Learning a Better Training Set for Optical Flow. CoRR abs/2104.14544 (2021) - [i39]Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu:
LASR: Learning Articulated Shape Reconstruction from a Monocular Video. CoRR abs/2105.02976 (2021) - [i38]Kieran A. Murphy, Carlos Esteves, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia:
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold. CoRR abs/2106.05965 (2021) - [i37]Chun-Han Yao, Wei-Chih Hung, Varun Jampani, Ming-Hsuan Yang:
Discovering 3D Parts from Image Collections. CoRR abs/2107.13629 (2021) - [i36]Jogendra Nath Kundu, Akshay R. Kulkarni, Amit Singh, Varun Jampani, R. Venkatesh Babu:
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation. CoRR abs/2108.11249 (2021) - [i35]Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu:
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. CoRR abs/2109.01068 (2021) - [i34]Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang:
ViDT: An Efficient and Effective Fully Transformer-based Object Detector. CoRR abs/2110.03921 (2021) - [i33]Mark Boss, Varun Jampani, Raphael Braun, Ce Liu, Jonathan T. Barron, Hendrik P. A. Lensch:
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition. CoRR abs/2110.14373 (2021) - 2020
- [c32]Hassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies, Varun Jampani, Matthias Nießner, Andreas Geiger, Carsten Rother:
Intrinsic Autoencoders for Joint Deferred Neural Rendering and Intrinsic Image Decomposition. 3DV 2020: 1176-1185 - [c31]Navaneet K. L., Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu:
From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks. CVPR 2020: 1129-1137 - [c30]Siva Karthik Mustikovela, Varun Jampani, Shalini De Mello, Sifei Liu, Umar Iqbal, Carsten Rother, Jan Kautz:
Self-Supervised Viewpoint Learning From Image Collections. CVPR 2020: 3970-3980 - [c29]Mark Boss, Varun Jampani, Kihwan Kim, Hendrik P. A. Lensch, Jan Kautz:
Two-Shot Spatially-Varying BRDF and Shape Estimation. CVPR 2020: 3981-3990 - [c28]Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty:
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis. CVPR 2020: 6151-6161 - [c27]Xueting Li, Sifei Liu, Kihwan Kim, Shalini De Mello, Varun Jampani, Ming-Hsuan Yang, Jan Kautz:
Self-supervised Single-View 3D Reconstruction via Semantic Consistency. ECCV (14) 2020: 677-693 - [c26]Wentao Yuan, Benjamin Eckart, Kihwan Kim, Varun Jampani, Dieter Fox, Jan Kautz:
DeepGMR: Learning Latent Gaussian Mixture Models for Registration. ECCV (5) 2020: 733-750 - [c25]Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu:
Appearance Consensus Driven Self-supervised Human Mesh Recovery. ECCV (1) 2020: 794-812 - [c24]Tewodros Amberbir Habtegebrial, Varun Jampani, Orazio Gallo, Didier Stricker:
Generative View Synthesis: From Single-view Semantics to Novel-view Images. NeurIPS 2020 - [i32]Xueting Li, Sifei Liu, Kihwan Kim, Shalini De Mello, Varun Jampani, Ming-Hsuan Yang, Jan Kautz:
Self-supervised Single-view 3D Reconstruction via Semantic Consistency. CoRR abs/2003.06473 (2020) - [i31]Mark Boss, Varun Jampani, Kihwan Kim, Hendrik P. A. Lensch, Jan Kautz:
Two-shot Spatially-varying BRDF and Shape Estimation. CoRR abs/2004.00403 (2020) - [i30]Siva Karthik Mustikovela, Varun Jampani, Shalini De Mello, Sifei Liu, Umar Iqbal, Carsten Rother, Jan Kautz:
Self-Supervised Viewpoint Learning From Image Collections. CoRR abs/2004.01793 (2020) - [i29]Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty:
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis. CoRR abs/2004.04400 (2020) - [i28]Navaneet K. L., Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu:
From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks. CoRR abs/2005.01939 (2020) - [i27]Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu:
Appearance Consensus Driven Self-Supervised Human Mesh Recovery. CoRR abs/2008.01341 (2020) - [i26]Wentao Yuan, Benjamin Eckart, Kihwan Kim, Varun Jampani, Dieter Fox, Jan Kautz:
DeepGMR: Learning Latent Gaussian Mixture Models for Registration. CoRR abs/2008.09088 (2020) - [i25]Tewodros Habtegebrial, Varun Jampani, Orazio Gallo, Didier Stricker:
Generative View Synthesis: From Single-view Semantics to Novel-view Images. CoRR abs/2008.09106 (2020) - [i24]Jialiang Wang, Varun Jampani, Deqing Sun, Charles T. Loop, Stan Birchfield, Jan Kautz:
Improving Deep Stereo Network Generalization with Geometric Priors. CoRR abs/2008.11098 (2020) - [i23]Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch:
NeRD: Neural Reflectance Decomposition from Image Collections. CoRR abs/2012.03918 (2020) - [i22]Andrew Liu, Richard Tucker, Varun Jampani, Ameesh Makadia, Noah Snavely, Angjoo Kanazawa:
Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image. CoRR abs/2012.09855 (2020)
2010 – 2019
- 2019
- [c23]Navaneet K. L., Priyanka Mandikal, Varun Jampani, R. Venkatesh Babu:
DIFFER: Moving Beyond 3D Reconstruction with Differentiable Feature Rendering. CVPR Workshops 2019: 18-24 - [c22]Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, Jan Kautz:
SCOPS: Self-Supervised Co-Part Segmentation. CVPR 2019: 869-878 - [c21]Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik G. Learned-Miller, Jan Kautz:
Pixel-Adaptive Convolutional Neural Networks. CVPR 2019: 11166-11175 - [c20]Anurag Ranjan, Varun Jampani, Lukas Balles, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black:
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation. CVPR 2019: 12240-12249 - [c19]Sifei Liu, Xueting Li, Varun Jampani, Shalini De Mello, Jan Kautz:
Learning Propagation for Arbitrarily-Structured Data. ICCV 2019: 652-661 - [c18]Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik G. Learned-Miller, Jan Kautz:
SENSE: A Shared Encoder Network for Scene-Flow Estimation. ICCV 2019: 3194-3203 - [c17]Towaki Takikawa, David Acuna, Varun Jampani, Sanja Fidler:
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation. ICCV 2019: 5228-5237 - [i21]Eugene Vorontsov, Pavlo Molchanov, Wonmin Byeon, Shalini De Mello, Varun Jampani, Ming-Yu Liu, Samuel Kadoury, Jan Kautz:
Boosting segmentation with weak supervision from image-to-image translation. CoRR abs/1904.01636 (2019) - [i20]Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik G. Learned-Miller, Jan Kautz:
Pixel-Adaptive Convolutional Neural Networks. CoRR abs/1904.05373 (2019) - [i19]Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, Jan Kautz:
SCOPS: Self-Supervised Co-Part Segmentation. CoRR abs/1905.01298 (2019) - [i18]Towaki Takikawa, David Acuna, Varun Jampani, Sanja Fidler:
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation. CoRR abs/1907.05740 (2019) - [i17]Sifei Liu, Xueting Li, Varun Jampani, Shalini De Mello, Jan Kautz:
Learning Propagation for Arbitrarily-structured Data. CoRR abs/1909.11237 (2019) - [i16]Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik G. Learned-Miller, Jan Kautz:
SENSE: a Shared Encoder Network for Scene-flow Estimation. CoRR abs/1910.12361 (2019) - 2018
- [j2]Raghudeep Gadde, Varun Jampani, Renaud Marlet, Peter V. Gehler:
Efficient 2D and 3D Facade Segmentation Using Auto-Context. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1273-1280 (2018) - [c16]Wei-Chih Tu, Ming-Yu Liu, Varun Jampani, Deqing Sun, Shao-Yi Chien, Ming-Hsuan Yang, Jan Kautz:
Learning Superpixels With Segmentation-Aware Affinity Loss. CVPR 2018: 568-576 - [c15]Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield:
Training Deep Networks With Synthetic Data: Bridging the Reality Gap by Domain Randomization. CVPR Workshops 2018: 969-977 - [c14]Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz:
SPLATNet: Sparse Lattice Networks for Point Cloud Processing. CVPR 2018: 2530-2539 - [c13]Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik G. Learned-Miller, Jan Kautz:
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation. CVPR 2018: 9000-9008 - [c12]Laura Sevilla-Lara, Yiyi Liao, Fatma Güney, Varun Jampani, Andreas Geiger, Michael J. Black:
On the Integration of Optical Flow and Action Recognition. GCPR 2018: 281-297 - [c11]Sifei Liu, Guangyu Zhong, Shalini De Mello, Jinwei Gu, Varun Jampani, Ming-Hsuan Yang, Jan Kautz:
Switchable Temporal Propagation Network. ECCV (7) 2018: 89-104 - [c10]Varun Jampani, Deqing Sun, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz:
Superpixel Sampling Networks. ECCV (7) 2018: 363-380 - [i15]Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz:
SPLATNet: Sparse Lattice Networks for Point Cloud Processing. CoRR abs/1802.08275 (2018) - [i14]Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield:
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization. CoRR abs/1804.06516 (2018) - [i13]Anurag Ranjan, Varun Jampani, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black:
Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation. CoRR abs/1805.09806 (2018) - [i12]Varun Jampani, Deqing Sun, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz:
Superpixel Sampling Networks. CoRR abs/1807.10174 (2018) - 2017
- [b1]Varun Jampani:
Learning Inference Models for Computer Vision. University of Tübingen, Germany, 2017 - [c9]Varun Jampani, Raghudeep Gadde, Peter V. Gehler:
Video Propagation Networks. CVPR 2017: 3154-3164 - [c8]Raghudeep Gadde, Varun Jampani, Peter V. Gehler:
Semantic Video CNNs Through Representation Warping. ICCV 2017: 4463-4472 - [i11]Raghudeep Gadde, Varun Jampani, Peter V. Gehler:
Semantic Video CNNs through Representation Warping. CoRR abs/1708.03088 (2017) - [i10]Varun Jampani:
Learning Inference Models for Computer Vision. CoRR abs/1709.00069 (2017) - [i9]Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik G. Learned-Miller, Jan Kautz:
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation. CoRR abs/1712.00080 (2017) - [i8]Laura Sevilla-Lara, Yiyi Liao, Fatma Güney, Varun Jampani, Andreas Geiger, Michael J. Black:
On the Integration of Optical Flow and Action Recognition. CoRR abs/1712.08416 (2017) - 2016
- [c7]Laura Sevilla-Lara, Deqing Sun, Varun Jampani, Michael J. Black:
Optical Flow with Semantic Segmentation and Localized Layers. CVPR 2016: 3889-3898 - [c6]Varun Jampani, Martin Kiefel, Peter V. Gehler:
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks. CVPR 2016: 4452-4461 - [c5]Raghudeep Gadde, Varun Jampani, Martin Kiefel, Daniel Kappler, Peter V. Gehler:
Superpixel Convolutional Networks Using Bilateral Inceptions. ECCV (1) 2016: 597-613 - [i7]Laura Sevilla-Lara, Deqing Sun, Varun Jampani, Michael J. Black:
Optical Flow with Semantic Segmentation and Localized Layers. CoRR abs/1603.03911 (2016) - [i6]Raghudeep Gadde, Varun Jampani, Renaud Marlet, Peter V. Gehler:
Efficient 2D and 3D Facade Segmentation using Auto-Context. CoRR abs/1606.06437 (2016) - [i5]Varun Jampani, Raghudeep Gadde, Peter V. Gehler:
Video Propagation Networks. CoRR abs/1612.05478 (2016) - 2015
- [j1]Varun Jampani, Sebastian Nowozin, Matthew Loper, Peter V. Gehler:
The informed sampler: A discriminative approach to Bayesian inference in generative computer vision models. Comput. Vis. Image Underst. 136: 32-44 (2015) - [c4]Varun Jampani, S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli, John M. Winn:
Consensus Message Passing for Layered Graphical Models. AISTATS 2015 - [c3]Varun Jampani, Raghudeep Gadde, Peter V. Gehler:
Efficient Facade Segmentation Using Auto-context. WACV 2015: 1038-1045 - [c2]Martin Kiefel, Varun Jampani, Peter V. Gehler:
Permutohedral Lattice CNNs. ICLR (Workshop) 2015 - [i4]Martin Kiefel, Varun Jampani, Peter V. Gehler:
Sparse Convolutional Networks using the Permutohedral Lattice. CoRR abs/1503.04949 (2015) - [i3]Raghudeep Gadde, Varun Jampani, Martin Kiefel, Peter V. Gehler:
Superpixel Convolutional Networks using Bilateral Inceptions. CoRR abs/1511.06739 (2015) - 2014
- [i2]Varun Jampani, Sebastian Nowozin, Matthew Loper, Peter V. Gehler:
The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models. CoRR abs/1402.0859 (2014) - [i1]Varun Jampani, S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli, John M. Winn:
Consensus Message Passing for Layered Graphical Models. CoRR abs/1410.7452 (2014) - 2012
- [c1]Varun Jampani, Ujjwal, Jayanthi Sivaswamy, Vivek Vaidya:
Assessment of computational visual attention models on medical images. ICVGIP 2012: 80
Coauthor Index
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Citation data
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load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-12-01 01:07 CET by the dblp team
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