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2020 – today
- 2024
[j38]Shih-Han Chou
, James J. Little, Leonid Sigal:
Implicit and explicit commonsense for multi-sentence video captioning. Comput. Vis. Image Underst. 247: 104064 (2024)- [j37]Minglang Qiao, Mai Xu, Lai Jiang, Peng Lei, Shijie Wen, Yunjin Chen, Leonid Sigal:
HyperSOR: Context-Aware Graph Hypernetwork for Salient Object Ranking. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 5873-5889 (2024) - [j36]Jing Wang, Jiahong Chen, Kuangen Zhang, Leonid Sigal:
Training feedforward neural nets in Hopfield-energy-based configuration: A two-step approach. Pattern Recognit. 145: 109954 (2024) - [j35]Jing Wang, Wonho Bae, Jiahong Chen, Kuangen Zhang, Leonid Sigal, Clarence W. de Silva:
What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context. Trans. Mach. Learn. Res. 2024 (2024) - [c115]Jiayun Luo, Siddhesh Khandelwal, Leonid Sigal, Boyang Li:
Emergent Open-Vocabulary Semantic Segmentation from Off-the-Shelf Vision-Language Models. CVPR 2024: 4029-4040 - [c114]Shweta Mahajan, Tanzila Rahman, Kwang Moo Yi, Leonid Sigal:
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models. CVPR 2024: 6808-6817 - [c113]Mir Rayat Imtiaz Hossain, Mennatullah Siam, Leonid Sigal, James J. Little:
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach. CVPR 2024: 23470-23480 - [c112]Aditya Chinchure, Pushkar Shukla, Gaurav Bhatt, Kiri Salij, Kartik Hosanagar, Leonid Sigal, Matthew Turk:
TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models. ECCV (79) 2024: 429-446 - [c111]Gaurav Bhatt, James Ross, Leonid Sigal:
Preventing Catastrophic Forgetting Through Memory Networks in Continuous Detection. ECCV (84) 2024: 442-458 - [c110]Minglang Qiao, Mai Xu, Shijie Wen, Lai Jiang, Shengxi Li, Tao Xu, Yunjin Chen, Leonid Sigal:
Saliency Prediction of Sports Videos: A Large-Scale Database and a Self-Adaptive Approach. ICASSP 2024: 6615-6619 - [c109]Mir Rayat Imtiaz Hossain, Leonid Sigal, James J. Little:
Framework-agnostic Semantically-aware Global Reasoning for Segmentation. WACV 2024: 988-998 - [c108]Bicheng Xu, Renjie Liao, Leonid Sigal:
Self-Supervised Relation Alignment for Scene Graph Generation. WACV 2024: 1328-1338 - [i86]Bicheng Xu, Qi Yan, Renjie Liao, Lele Wang, Leonid Sigal:
Joint Generative Modeling of Scene Graphs and Images via Diffusion Models. CoRR abs/2401.01130 (2024) - [i85]Shih-Han Chou, Matthew Kowal, Yasmin Niknam, Diana Moyano, Shayaan Mehdi, Richard Pito, Cheng Zhang, Ian Knopke, Sedef Akinli Koçak, Leonid Sigal, Yalda Mohsenzadeh:
Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews). CoRR abs/2401.12419 (2024) - [i84]Tanzila Rahman, Shweta Mahajan, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Leonid Sigal:
Visual Concept-driven Image Generation with Text-to-Image Diffusion Model. CoRR abs/2402.11487 (2024) - [i83]Gaurav Bhatt, James Ross, Leonid Sigal:
Preventing Catastrophic Forgetting through Memory Networks in Continuous Detection. CoRR abs/2403.14797 (2024) - [i82]Mir Rayat Imtiaz Hossain, Mennatullah Siam, Leonid Sigal, James J. Little:
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach. CoRR abs/2404.11732 (2024) - [i81]Chunjin Song, Zhijie Wu, Bastian Wandt, Leonid Sigal, Helge Rhodin:
Representing Animatable Avatar via Factorized Neural Fields. CoRR abs/2406.00637 (2024) - [i80]Wan-Cyuan Fan, Yen-Chun Chen, Mengchen Liu, Lu Yuan, Leonid Sigal:
On Pre-training of Multimodal Language Models Customized for Chart Understanding. CoRR abs/2407.14506 (2024) - [i79]Shivam Chandhok, Wan-Cyuan Fan, Leonid Sigal:
Response Wide Shut: Surprising Observations in Basic Vision Language Model Capabilities. CoRR abs/2408.06721 (2024) - [i78]Shih-Han Chou, Shivam Chandhok, James J. Little, Leonid Sigal:
MM-R3: On (In-)Consistency of Multi-modal Large Language Models (MLLMs). CoRR abs/2410.04778 (2024) - 2023
- [j34]Jinfan Yang, Nicholas Vining, S. Kheradmand, Nathan Carr, Leonid Sigal, Alla Sheffer:
Subpixel Deblurring of Anti-Aliased Raster Clip-Art. Comput. Graph. Forum 42(2): 61-76 (2023) - [j33]Muchen Li, Jeffrey Yunfan Liu, Leonid Sigal, Renjie Liao:
GraphPNAS: Learning Probabilistic Graph Generators for Neural Architecture Search. Trans. Mach. Learn. Res. 2023 (2023) - [c107]Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian:
Weakly-supervised Spatially Grounded Concept Learner for Few-Shot Learning. BMVC 2023: 858-867 - [c106]Mohammed Suhail, Erika Lu, Zhengqi Li, Noah Snavely, Leonid Sigal, Forrester Cole:
Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video. CVPR 2023: 630-639 - [c105]Tanzila Rahman, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Shweta Mahajan, Leonid Sigal:
Make-A-Story: Visual Memory Conditioned Consistent Story Generation. CVPR 2023: 2493-2502 - [c104]Yichen Guo, Mai Xu, Lai Jiang, Leonid Sigal, Yunjin Chen:
DINN360: Deformable Invertible Neural Network for Latitude-aware 360° Image Rescaling. CVPR 2023: 21519-21528 - [c103]Junpeng Jing, Jiankun Li, Pengfei Xiong, Jiangyu Liu, Shuaicheng Liu, Yichen Guo, Xin Deng, Mai Xu, Lai Jiang, Leonid Sigal:
Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching. ICCV 2023: 3295-3304 - [c102]Tianyu Hua, Yonglong Tian, Sucheng Ren, Michalis Raptis, Hang Zhao, Leonid Sigal:
Self-supervision through Random Segments with Autoregressive Coding (RandSAC). ICLR 2023 - [c101]Qiuyue Fang, Tao Xu, Lai Jiang, Shengxi Li, Mai Xu, Yunjin Chen, Leonid Sigal:
Optimizing DNN based quality assessment metric for image compression: A novel rate control method. ICME 2023: 714-719 - [c100]Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian:
Mitigating the Effect of Incidental Correlations on Part-based Learning. NeurIPS 2023 - [c99]Sahithya Ravi, Aditya Chinchure, Leonid Sigal, Renjie Liao, Vered Shwartz:
VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge. WACV 2023: 1155-1165 - [i77]Yanwei Fu, Xiaomei Wang, Hanze Dong, Yu-Gang Jiang, Meng Wang, Xiangyang Xue, Leonid Sigal:
Vocabulary-informed Zero-shot and Open-set Learning. CoRR abs/2301.00998 (2023) - [i76]Bicheng Xu, Renjie Liao, Leonid Sigal:
Self-Supervised Relation Alignment for Scene Graph Generation. CoRR abs/2302.01403 (2023) - [i75]Siddhesh Khandelwal, Anirudth Nambirajan, Behjat Siddiquie, Jayan Eledath, Leonid Sigal:
Frustratingly Simple but Effective Zero-shot Detection and Segmentation: Analysis and a Strong Baseline. CoRR abs/2302.07319 (2023) - [i74]Raghav Goyal, Effrosyni Mavroudi, Xitong Yang, Sainbayar Sukhbaatar, Leonid Sigal, Matt Feiszli, Lorenzo Torresani, Du Tran:
MINOTAUR: Multi-task Video Grounding From Multimodal Queries. CoRR abs/2302.08063 (2023) - [i73]Shih-Han Chou, James J. Little, Leonid Sigal:
Implicit and Explicit Commonsense for Multi-sentence Video Captioning. CoRR abs/2303.07545 (2023) - [i72]Jiahui Huang, Leonid Sigal, Kwang Moo Yi, Oliver Wang, Joon-Young Lee:
INVE: Interactive Neural Video Editing. CoRR abs/2307.07663 (2023) - [i71]Junpeng Jing, Jiankun Li, Pengfei Xiong, Jiangyu Liu, Shuaicheng Liu, Yichen Guo, Xin Deng, Mai Xu, Lai Jiang, Leonid Sigal:
Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching. CoRR abs/2307.14071 (2023) - [i70]Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian:
Mitigating the Effect of Incidental Correlations on Part-based Learning. CoRR abs/2310.00377 (2023) - [i69]Jiayun Luo, Siddhesh Khandelwal, Leonid Sigal, Boyang Li:
Plug-and-Play, Dense-Label-Free Extraction of Open-Vocabulary Semantic Segmentation from Vision-Language Models. CoRR abs/2311.17095 (2023) - [i68]Aditya Chinchure, Pushkar Shukla, Gaurav Bhatt, Kiri Salij, Kartik Hosanagar, Leonid Sigal, Matthew A. Turk:
TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models. CoRR abs/2312.01261 (2023) - [i67]Raghav Goyal, Wan-Cyuan Fan, Mennatullah Siam, Leonid Sigal:
M3T: Multi-Scale Memory Matching for Video Object Segmentation and Tracking. CoRR abs/2312.08514 (2023) - [i66]Shweta Mahajan, Tanzila Rahman, Kwang Moo Yi, Leonid Sigal:
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models. CoRR abs/2312.12416 (2023) - 2022
- [j32]Hanze Dong, Yanwei Fu, Sung Ju Hwang, Leonid Sigal, Xiangyang Xue:
Learning the Compositional Domains for Generalized Zero-shot Learning. Comput. Vis. Image Underst. 221: 103454 (2022) - [c98]Shih-Han Chou, Zicong Fan, James J. Little, Leonid Sigal:
Semi-supervised Grounding Alignment for Multi-modal Feature Learning. CRV 2022: 48-57 - [c97]Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia:
Light Field Neural Rendering. CVPR 2022: 8259-8269 - [c96]Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia:
Generalizable Patch-Based Neural Rendering. ECCV (32) 2022: 156-174 - [c95]Jiahui Huang, Yuhe Jin, Kwang Moo Yi, Leonid Sigal:
Layered Controllable Video Generation. ECCV (16) 2022: 546-564 - [c94]Siddhesh Khandelwal, Leonid Sigal:
Iterative Scene Graph Generation. NeurIPS 2022 - [i65]Peyman Bateni, Jarred Barber, Raghav Goyal, Vaden Masrani, Jan-Willem van de Meent, Leonid Sigal, Frank Wood:
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning. CoRR abs/2201.05151 (2022) - [i64]Tianyu Hua, Yonglong Tian, Sucheng Ren, Hang Zhao, Leonid Sigal:
Self-supervision through Random Segments with Autoregressive Coding (RandSAC). CoRR abs/2203.12054 (2022) - [i63]Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia:
Generalizable Patch-Based Neural Rendering. CoRR abs/2207.10662 (2022) - [i62]Siddhesh Khandelwal, Leonid Sigal:
Iterative Scene Graph Generation. CoRR abs/2207.13440 (2022) - [i61]Peyman Bateni, Leonid Sigal:
Real-Time Monitoring of User Stress, Heart Rate and Heart Rate Variability on Mobile Devices. CoRR abs/2210.01791 (2022) - [i60]Sahithya Ravi, Aditya Chinchure, Leonid Sigal, Renjie Liao, Vered Shwartz:
VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge. CoRR abs/2210.13626 (2022) - [i59]Tanzila Rahman, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Shweta Mahajan, Leonid Sigal:
Make-A-Story: Visual Memory Conditioned Consistent Story Generation. CoRR abs/2211.13319 (2022) - [i58]Muchen Li, Jeffrey Yunfan Liu, Leonid Sigal, Renjie Liao:
GraphPNAS: Learning Distribution of Good Neural Architectures via Deep Graph Generative Models. CoRR abs/2211.15155 (2022) - [i57]Mir Rayat Imtiaz Hossain, Leonid Sigal, James J. Little:
Semantically Enhanced Global Reasoning for Semantic Segmentation. CoRR abs/2212.03338 (2022) - 2021
- [j31]Lai Jiang, Mai Xu, Zulin Wang, Leonid Sigal:
DeepVS2.0: A Saliency-Structured Deep Learning Method for Predicting Dynamic Visual Attention. Int. J. Comput. Vis. 129(1): 203-224 (2021) - [j30]Jing Wang, Jiahong Chen, Jianzhe Lin, Leonid Sigal, Clarence W. de Silva:
Discriminative feature alignment: Improving transferability of unsupervised domain adaptation by Gaussian-guided latent alignment. Pattern Recognit. 116: 107943 (2021) - [j29]Paolo Spagnolo, Hamid Aghajan, George Bebis, Shaogang Gong, Amy Loutfi, Leonid Sigal, Wei-Shi Zheng:
Guest Editorial Introduction to the Special Issue on Large-Scale Visual Sensor Networks: Architectures and Applications. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1249-1252 (2021) - [c93]Raghav Goyal, Leonid Sigal:
A Simple Baseline for Weakly-Supervised Human-centric Relation Detection. BMVC 2021: 293 - [c92]Tanzila Rahman, Shih-Han Chou, Leonid Sigal, Giuseppe Carenini:
An Improved Attention for Visual Question Answering. CVPR Workshops 2021: 1653-1662 - [c91]Siddhesh Khandelwal, Raghav Goyal, Leonid Sigal:
UniT: Unified Knowledge Transfer for Any-Shot Object Detection and Segmentation. CVPR 2021: 5951-5961 - [c90]Mohammed Suhail, Abhay Mittal, Behjat Siddiquie, Chris Broaddus, Jayan Eledath, Gérard G. Medioni, Leonid Sigal:
Energy-Based Learning for Scene Graph Generation. CVPR 2021: 13936-13945 - [c89]Lai Jiang, Mai Xu, Xiaofei Wang, Leonid Sigal:
Saliency-Guided Image Translation. CVPR 2021: 16509-16518 - [c88]Siddhesh Khandelwal, Mohammed Suhail, Leonid Sigal:
Segmentation-grounded Scene Graph Generation. ICCV 2021: 15859-15869 - [c87]Tanzila Rahman, Leonid Sigal:
Weakly-Supervised Audio-Visual Sound Source Detection and Separation. ICME 2021: 1-6 - [c86]Tanzila Rahman, Mengyu Yang, Leonid Sigal:
TriBERT: Human-centric Audio-visual Representation Learning. NeurIPS 2021: 9774-9787 - [c85]Muchen Li, Leonid Sigal:
Referring Transformer: A One-step Approach to Multi-task Visual Grounding. NeurIPS 2021: 19652-19664 - [c84]Polina Zablotskaia, Edoardo A. Dominici, Leonid Sigal, Andreas M. Lehrmann:
PROVIDE: a probabilistic framework for unsupervised video decomposition. UAI 2021: 2019-2028 - [c83]Weidong Yin, Ziwei Liu, Leonid Sigal:
Person-in-Context Synthesis with Compositional Structural Space. WACV 2021: 2826-2835 - [i56]Mohammed Suhail, Abhay Mittal, Behjat Siddiquie, Chris Broaddus, Jayan Eledath, Gérard G. Medioni, Leonid Sigal:
Energy-Based Learning for Scene Graph Generation. CoRR abs/2103.02221 (2021) - [i55]Tanzila Rahman, Leonid Sigal:
Weakly-supervised Audio-visual Sound Source Detection and Separation. CoRR abs/2104.02606 (2021) - [i54]Siddhesh Khandelwal, Mohammed Suhail, Leonid Sigal:
Segmentation-grounded Scene Graph Generation. CoRR abs/2104.14207 (2021) - [i53]Muchen Li, Leonid Sigal:
Referring Transformer: A One-step Approach to Multi-task Visual Grounding. CoRR abs/2106.03089 (2021) - [i52]Tanzila Rahman, Mengyu Yang, Leonid Sigal:
TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation. CoRR abs/2110.13412 (2021) - [i51]Jiahui Huang, Yuhe Jin, Kwang Moo Yi, Leonid Sigal:
Layered Controllable Video Generation. CoRR abs/2111.12747 (2021) - [i50]Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia:
Light Field Neural Rendering. CoRR abs/2112.09687 (2021) - 2020
- [j28]Bo Zhao, Weidong Yin, Lili Meng, Leonid Sigal:
Layout2image: Image Generation from Layout. Int. J. Comput. Vis. 128(10): 2418-2435 (2020) - [j27]Yanwei Fu, Xiaomei Wang, Hanze Dong, Yu-Gang Jiang, Meng Wang, Xiangyang Xue, Leonid Sigal:
Vocabulary-Informed Zero-Shot and Open-Set Learning. IEEE Trans. Pattern Anal. Mach. Intell. 42(12): 3136-3152 (2020) - [j26]Lai Jiang, Mai Xu, Shanyi Zhang, Leonid Sigal:
DeepCT: A novel deep complex-valued network with learnable transform for video saliency prediction. Pattern Recognit. 102: 107234 (2020) - [j25]Ng Annalyn, Maarten W. Bos, Leonid Sigal, Boyang Li:
Predicting Personality from Book Preferences with User-Generated Content Labels. IEEE Trans. Affect. Comput. 11(3): 482-492 (2020) - [j24]Edoardo Alberto Dominici, Nico Schertler, Jonathan Griffin, Shayan Hoshyari, Leonid Sigal, Alla Sheffer:
PolyFit: perception-aligned vectorization of raster clip-art via intermediate polygonal fitting. ACM Trans. Graph. 39(4): 77 (2020) - [c82]Ke Ma, Bo Zhao, Leonid Sigal:
Attribute-Guided Image Generation from Layout. BMVC 2020 - [c81]Yuan Yao, Nico Schertler, Enrique Rosales, Helge Rhodin, Leonid Sigal, Alla Sheffer:
Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction. CVPR 2020: 528-537 - [c80]Peyman Bateni, Raghav Goyal, Vaden Masrani, Frank Wood, Leonid Sigal:
Improved Few-Shot Visual Classification. CVPR 2020: 14481-14490 - [c79]Megha Nawhal, Mengyao Zhai, Andreas M. Lehrmann, Leonid Sigal, Greg Mori:
Generating Videos of Zero-Shot Compositions of Actions and Objects. ECCV (12) 2020: 382-401 - [i49]Ruizhi Deng, Yanshuai Cao, Bo Chang, Leonid Sigal, Greg Mori, Marcus A. Brubaker:
Variational Hyper RNN for Sequence Modeling. CoRR abs/2002.10501 (2020) - [i48]Bicheng Xu, Leonid Sigal:
Consistent Multiple Sequence Decoding. CoRR abs/2004.00760 (2020) - [i47]Siddhesh Khandelwal, Raghav Goyal, Leonid Sigal:
Weakly-supervised Any-shot Object Detection. CoRR abs/2006.07502 (2020) - [i46]Jing Wang, Jiahong Chen, Jianzhe Lin, Leonid Sigal, Clarence W. de Silva:
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment. CoRR abs/2006.12770 (2020) - [i45]Polina Zablotskaia, Edoardo A. Dominici, Leonid Sigal, Andreas M. Lehrmann:
Unsupervised Video Decomposition using Spatio-temporal Iterative Inference. CoRR abs/2006.14727 (2020) - [i44]Ke Ma, Bo Zhao, Leonid Sigal:
Attribute-guided image generation from layout. CoRR abs/2008.11932 (2020) - [i43]Weidong Yin, Ziwei Liu, Leonid Sigal:
Person-in-Context Synthesiswith Compositional Structural Space. CoRR abs/2008.12679 (2020) - [i42]Tanzila Rahman, Shih-Han Chou, Leonid Sigal, Giuseppe Carenini:
An Improved Attention for Visual Question Answering. CoRR abs/2011.02164 (2020)
2010 – 2019
- 2019
- [j23]Yuting Qiang, Yanwei Fu, Xiao Yu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal:
Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models. J. Comput. Sci. Technol. 34(1): 155-169 (2019) - [j22]Zitian Chen, Yanwei Fu, Yinda Zhang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal:
Multi-Level Semantic Feature Augmentation for One-Shot Learning. IEEE Trans. Image Process. 28(9): 4594-4605 (2019) - [c78]Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko:
Multilevel Language and Vision Integration for Text-to-Clip Retrieval. AAAI 2019: 9062-9069 - [c77]Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao, Leonid Sigal:
DwNet: Dense warp-based network for pose-guided human video generation. BMVC 2019: 51 - [c76]Gursimran Singh, Leonid Sigal, James J. Little:
Spatio-temporal Relational Reasoning for Video Question Answering. BMVC 2019: 295 - [c75]Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori:
A Variational Auto-Encoder Model for Stochastic Point Processes. CVPR 2019: 3165-3174 - [c74]Pelin Dogan, Leonid Sigal, Markus H. Gross:
Neural Sequential Phrase Grounding (SeqGROUND). CVPR 2019: 4175-4184 - [c73]Bo Zhao, Lili Meng, Weidong Yin, Leonid Sigal:
Image Generation From Layout. CVPR 2019: 8584-8593 - [c72]Siddhesh Khandelwal, Leonid Sigal:
AttentionRNN: A Structured Spatial Attention Mechanism. ICCV 2019: 3424-3433 - [c71]Mohit Bajaj, Lanjun Wang, Leonid Sigal:
G3raphGround: Graph-Based Language Grounding. ICCV 2019: 4280-4289 - [c70]Tanzila Rahman, Bicheng Xu, Leonid Sigal:
Watch, Listen and Tell: Multi-Modal Weakly Supervised Dense Event Captioning. ICCV 2019: 8907-8916 - [c69]Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori:
LayoutVAE: Stochastic Scene Layout Generation From a Label Set. ICCV 2019: 9894-9903 - [c68]Mohammed Suhail, Leonid Sigal:
Mixture-Kernel Graph Attention Network for Situation Recognition. ICCV 2019: 10362-10371 - [c67]Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Wei Sun, Frederick Tung, Leonid Sigal:
Interpretable Spatio-Temporal Attention for Video Action Recognition. ICCV Workshops 2019: 1513-1522 - [c66]Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko:
Joint Event Detection and Description in Continuous Video Streams. WACV Workshops 2019: 25-26 - [c65]Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko:
Joint Event Detection and Description in Continuous Video Streams. WACV 2019: 396-405 - [c64]Zuxuan Wu, Larry Davis, Leonid Sigal:
Weakly-Supervised Spatial Context Networks. WACV 2019: 1253-1261 - [i41]Pelin Dogan, Leonid Sigal, Markus H. Gross:
Neural Sequential Phrase Grounding (SeqGROUND). CoRR abs/1903.07669 (2019) - [i40]Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori:
A Variational Auto-Encoder Model for Stochastic Point Processes. CoRR abs/1904.03273 (2019) - [i39]Siddhesh Khandelwal, Leonid Sigal:
AttentionRNN: A Structured Spatial Attention Mechanism. CoRR abs/1905.09400 (2019) - [i38]Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori:
LayoutVAE: Stochastic Scene Layout Generation from a Label Set. CoRR abs/1907.10719 (2019) - [i37]Tanzila Rahman, Bicheng Xu, Leonid Sigal:
Watch, Listen and Tell: Multi-modal Weakly Supervised Dense Event Captioning. CoRR abs/1909.09944 (2019) - [i36]Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao, Leonid Sigal:
DwNet: Dense warp-based network for pose-guided human video generation. CoRR abs/1910.09139 (2019) - [i35]Zicong Fan, Si Yi Meng, Leonid Sigal, James J. Little:
OptiBox: Breaking the Limits of Proposals for Visual Grounding. CoRR abs/1912.00076 (2019) - [i34]Megha Nawhal, Mengyao Zhai, Andreas M. Lehrmann, Leonid Sigal:
Zero-Shot Generation of Human-Object Interaction Videos. CoRR abs/1912.02401 (2019) - [i33]Peyman Bateni, Raghav Goyal, Vaden Masrani, Frank Wood, Leonid Sigal:
Improved Few-Shot Visual Classification. CoRR abs/1912.03432 (2019) - [i32]Yuan Yao, Nico Schertler, Enrique Rosales, Helge Rhodin, Leonid Sigal, Alla Sheffer:
Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction. CoRR abs/1912.10589 (2019) - 2018
- [j21]Oz Radiano, Yonatan Graber, Moshe Mahler, Leonid Sigal, Arik Shamir:
Story Albums: Creating Fictional Stories From Personal Photograph Sets. Comput. Graph. Forum 37(1): 19-31 (2018) - [j20]Shugao Ma, Jianming Zhang, Stan Sclaroff, Nazli Ikizler-Cinbis, Leonid Sigal:
Space-Time Tree Ensemble for Action Recognition and Localization. Int. J. Comput. Vis. 126(2-4): 314-332 (2018) - [j19]Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal, Shaogang Gong:
Recent Advances in Zero-Shot Recognition: Toward Data-Efficient Understanding of Visual Content. IEEE Signal Process. Mag. 35(1): 112-125 (2018) - [j18]Baohan Xu, Yanwei Fu, Yu-Gang Jiang, Boyang Li, Leonid Sigal:
Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization. IEEE Trans. Affect. Comput. 9(2): 255-270 (2018) - [c63]Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet:
Walking on Thin Air: Environment-Free Physics-Based Markerless Motion Capture. CRV 2018: 158-165 - [c62]Hareesh Ravi, Lezi Wang, Carlos Muñiz, Leonid Sigal, Dimitris N. Metaxas, Mubbasir Kapadia:
Show Me a Story: Towards Coherent Neural Story Illustration. CVPR 2018: 7613-7621 - [c61]Pelin Dogan, Boyang Li, Leonid Sigal, Markus H. Gross:
A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH). CVPR 2018: 8749-8758 - [c60]Bo Zhao, Bo Chang, Zequn Jie, Leonid Sigal:
Modular Generative Adversarial Networks. ECCV (14) 2018: 157-173 - [c59]Jiawei He, Andreas M. Lehrmann, Joseph Marino, Greg Mori, Leonid Sigal:
Probabilistic Video Generation Using Holistic Attribute Control. ECCV (5) 2018: 466-483 - [c58]Shikib Mehri, Leonid Sigal:
Middle-Out Decoding. NeurIPS 2018: 5523-5534 - [i31]Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko:
Joint Event Detection and Description in Continuous Video Streams. CoRR abs/1802.10250 (2018) - [i30]Pelin Dogan, Boyang Li, Leonid Sigal, Markus H. Gross:
LSTM stack-based Neural Multi-sequence Alignment TeCHnique (NeuMATCH). CoRR abs/1803.00057 (2018) - [i29]Jiawei He, Andreas M. Lehrmann, Joseph Marino, Greg Mori, Leonid Sigal:
Probabilistic Video Generation using Holistic Attribute Control. CoRR abs/1803.08085 (2018) - [i28]Bo Zhao, Bo Chang, Zequn Jie, Leonid Sigal:
Modular Generative Adversarial Networks. CoRR abs/1804.03343 (2018) - [i27]Huijuan Xu, Kun He, Leonid Sigal, Stan Sclaroff, Kate Saenko:
Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning. CoRR abs/1804.05113 (2018) - [i26]Zitian Chen, Yanwei Fu, Yinda Zhang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal:
Semantic Feature Augmentation in Few-shot Learning. CoRR abs/1804.05298 (2018) - [i25]Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Frederick Tung, Leonid Sigal:
Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos. CoRR abs/1810.04511 (2018) - [i24]Hanze Dong, Yanwei Fu, Leonid Sigal, Sung Ju Hwang, Yu-Gang Jiang, Xiangyang Xue:
Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective. CoRR abs/1810.07368 (2018) - [i23]Shikib Mehri, Leonid Sigal:
Middle-Out Decoding. CoRR abs/1810.11735 (2018) - [i22]Bo Zhao, Lili Meng, Weidong Yin, Leonid Sigal:
Image Generation from Layout. CoRR abs/1811.11389 (2018) - [i21]Ziad Al-Halah, Andreas M. Lehrmann, Leonid Sigal:
Towards Traversing the Continuous Spectrum of Image Retrieval. CoRR abs/1812.00202 (2018) - [i20]Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet:
Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture. CoRR abs/1812.01203 (2018) - 2017
- [j17]Shugao Ma, Sarah Adel Bargal, Jianming Zhang, Leonid Sigal, Stan Sclaroff:
Do less and achieve more: Training CNNs for action recognition utilizing action images from the Web. Pattern Recognit. 68: 334-345 (2017) - [c57]Fanyi Xiao, Leonid Sigal, Yong Jae Lee:
Weakly-Supervised Visual Grounding of Phrases with Linguistic Structures. CVPR 2017: 5253-5262 - [c56]Paul Hongsuck Seo, Andreas M. Lehrmann, Bohyung Han, Leonid Sigal:
Visual Reference Resolution using Attention Memory for Visual Dialog. NIPS 2017: 3719-3729 - [c55]Andreas M. Lehrmann, Leonid Sigal:
Non-parametric Structured Output Networks. NIPS 2017: 4214-4224 - [c54]Guy Rosenthal, Ariel Shamir, Leonid Sigal:
Learn How to Choose: Independent Detectors Versus Composite Visual Phrases. WACV 2017: 382-390 - [i19]Yuting Qiang, Yanwei Fu, Xiao Yu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal:
Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models. CoRR abs/1702.06228 (2017) - [i18]Weidong Yin, Yanwei Fu, Leonid Sigal, Xiangyang Xue:
Semi-Latent GAN: Learning to generate and modify facial images from attributes. CoRR abs/1704.02166 (2017) - [i17]Zuxuan Wu, Larry S. Davis, Leonid Sigal:
Weakly-Supervised Spatial Context Networks. CoRR abs/1704.02998 (2017) - [i16]Fanyi Xiao, Leonid Sigal, Yong Jae Lee:
Weakly-supervised Visual Grounding of Phrases with Linguistic Structures. CoRR abs/1705.01371 (2017) - [i15]Ng Annalyn, Maarten W. Bos, Leonid Sigal, Boyang Li:
Predicting Personality from Book Preferences with User-Generated Content Labels. CoRR abs/1707.06643 (2017) - [i14]Atousa Torabi, Leonid Sigal:
Action Classification and Highlighting in Videos. CoRR abs/1708.09522 (2017) - [i13]Paul Hongsuck Seo, Andreas M. Lehrmann, Bohyung Han, Leonid Sigal:
Visual Reference Resolution using Attention Memory for Visual Dialog. CoRR abs/1709.07992 (2017) - [i12]Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal, Shaogang Gong:
Recent Advances in Zero-shot Recognition. CoRR abs/1710.04837 (2017) - 2016
- [c53]Yuting Qiang, Yanwei Fu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal:
Learning to Generate Posters of Scientific Papers. AAAI 2016: 51-57 - [c52]Jonghyun Choi, Sung Ju Hwang, Leonid Sigal, Larry S. Davis:
Knowledge Transfer with Interactive Learning of Semantic Relationships. AAAI 2016: 1505-1511 - [c51]Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal:
Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach. AAAI 2016: 3523-3529 - [c50]Sheldon Andrews, Ivan Huerta Casado, Taku Komura, Leonid Sigal, Kenny Mitchell:
Real-time Physics-based Motion Capture with Sparse Sensors. CVMP 2016: 5:1-5:10 - [c49]Shugao Ma, Leonid Sigal, Stan Sclaroff:
Learning Activity Progression in LSTMs for Activity Detection and Early Detection. CVPR 2016: 1942-1950 - [c48]Zuxuan Wu, Yanwei Fu, Yu-Gang Jiang, Leonid Sigal:
Harnessing Object and Scene Semantics for Large-Scale Video Understanding. CVPR 2016: 3112-3121 - [c47]Yanwei Fu, Leonid Sigal:
Semi-supervised Vocabulary-Informed Learning. CVPR 2016: 5337-5346 - [c46]Baohan Xu, Yanwei Fu, Yu-Gang Jiang, Boyang Li, Leonid Sigal:
Video Emotion Recognition with Transferred Deep Feature Encodings. ICMR 2016: 15-22 - [i11]Yuting Qiang, Yanwei Fu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal:
Learning to Generate Posters of Scientific Papers. CoRR abs/1604.01219 (2016) - [i10]Yanwei Fu, Leonid Sigal:
Semi-supervised Vocabulary-informed Learning. CoRR abs/1604.07093 (2016) - [i9]Atousa Torabi, Niket Tandon, Leonid Sigal:
Learning Language-Visual Embedding for Movie Understanding with Natural-Language. CoRR abs/1609.08124 (2016) - 2015
- [j16]Makoto Yamada, Leonid Sigal, Michalis Raptis, Machiko Toyoda, Yi Chang, Masashi Sugiyama:
Cross-Domain Matching with Squared-Loss Mutual Information. IEEE Trans. Pattern Anal. Mach. Intell. 37(9): 1764-1776 (2015) - [j15]Leonid Sigal, Moshe Mahler, Spencer Diaz, Kyna McIntosh, Elizabeth J. Carter, Timothy Richards, Jessica K. Hodgins:
A perceptual control space for garment simulation. ACM Trans. Graph. 34(4): 117:1-117:10 (2015) - [c45]Sung Ju Hwang, Leonid Sigal:
A Unified Semantic Embedding: Relating Taxonomies and Attributes. AAAI Spring Symposia 2015 - [c44]Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal:
Expanding object detector's Horizon: Incremental learning framework for object detection in videos. CVPR 2015: 28-36 - [c43]Gunhee Kim, Seungwhan Moon, Leonid Sigal:
Ranking and retrieval of image sequences from multiple paragraph queries. CVPR 2015: 1993-2001 - [c42]Gunhee Kim, Seungwhan Moon, Leonid Sigal:
Joint photo stream and blog post summarization and exploration. CVPR 2015: 3081-3089 - [c41]Shugao Ma, Leonid Sigal, Stan Sclaroff:
Space-time tree ensemble for action recognition. CVPR 2015: 5024-5032 - [c40]Bo Xiong, Gunhee Kim, Leonid Sigal:
Storyline Representation of Egocentric Videos with an Applications to Story-Based Search. ICCV 2015: 4525-4533 - [c39]Xi Zhang, Yanwei Fu, Shanshan Jiang, Leonid Sigal, Gady Agam:
Learning from Synthetic Data Using a Stacked Multichannel Autoencoder. ICMLA 2015: 461-464 - [c38]Gunhee Kim, Leonid Sigal:
Discovering Collective Narratives of Theme Parks from Large Collections of Visitors' Photo Streams. KDD 2015: 1899-1908 - [c37]Fereshteh Sadeghi, J. Rafael Tena, Ali Farhadi, Leonid Sigal:
Learning to Select and Order Vacation Photographs. WACV 2015: 510-517 - [c36]Qieyun Dai, Peter Carr, Leonid Sigal, Derek Hoiem:
Family Member Identification from Photo Collections. WACV 2015: 982-989 - [i8]Guang-Tong Zhou, Sung Ju Hwang, Mark Schmidt, Leonid Sigal, Greg Mori:
Hierarchical Maximum-Margin Clustering. CoRR abs/1502.01827 (2015) - [i7]Xi Zhang, Yanwei Fu, Andi Zang, Leonid Sigal, Gady Agam:
Learning Classifiers from Synthetic Data Using a Multichannel Autoencoder. CoRR abs/1503.03163 (2015) - [i6]Xi Zhang, Yanwei Fu, Shanshan Jiang, Leonid Sigal, Gady Agam:
Learning from Synthetic Data Using a Stacked Multichannel Autoencoder. CoRR abs/1509.05463 (2015) - [i5]Baohan Xu, Yanwei Fu, Yu-Gang Jiang, Boyang Li, Leonid Sigal:
Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization. CoRR abs/1511.04798 (2015) - [i4]Shugao Ma, Sarah Adel Bargal, Jianming Zhang, Leonid Sigal, Stan Sclaroff:
Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web. CoRR abs/1512.07155 (2015) - 2014
- [j14]Makoto Yamada, Leonid Sigal, Yi Chang:
Domain Adaptation for Structured Regression. Int. J. Comput. Vis. 109(1-2): 126-145 (2014) - [j13]Makoto Yamada, Wittawat Jitkrittum, Leonid Sigal, Eric P. Xing, Masashi Sugiyama:
High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso. Neural Comput. 26(1): 185-207 (2014) - [j12]Makoto Yamada, Leonid Sigal, Michalis Raptis:
Covariate Shift Adaptation for Discriminative 3D Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 36(2): 235-247 (2014) - [c35]Gunhee Kim, Leonid Sigal, Eric P. Xing:
Joint Summarization of Large-Scale Collections of Web Images and Videos for Storyline Reconstruction. CVPR 2014: 4225-4232 - [c34]Kun He, Leonid Sigal, Stan Sclaroff:
Parameterizing Object Detectors in the Continuous Pose Space. ECCV (4) 2014: 450-465 - [c33]Sung Ju Hwang, Leonid Sigal:
A Unified Semantic Embedding: Relating Taxonomies and Attributes. NIPS 2014: 271-279 - [c32]Soumya Ghosh, Michalis Raptis, Leonid Sigal, Erik B. Sudderth:
Nonparametric Clustering with Distance Dependent Hierarchies. UAI 2014: 260-269 - [r1]Leonid Sigal:
Human Pose Estimation. Computer Vision, A Reference Guide 2014: 362-370 - [i3]Sung Ju Hwang, Leonid Sigal:
A Unified Semantic Embedding: Relating Taxonomies and Attributes. CoRR abs/1411.5879 (2014) - 2013
- [j11]Yan Tian, Leonid Sigal, Fernando De la Torre, Yonghua Jia:
Canonical locality preserving Latent Variable Model for discriminative pose inference. Image Vis. Comput. 31(3): 223-230 (2013) - [j10]Marek Vondrak, Leonid Sigal, Odest Chadwicke Jenkins:
Dynamical Simulation Priors for Human Motion Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 35(1): 52-65 (2013) - [c31]Michalis Raptis, Leonid Sigal:
Poselet Key-Framing: A Model for Human Activity Recognition. CVPR 2013: 2650-2657 - [c30]Tian Lan, Michalis Raptis, Leonid Sigal, Greg Mori:
From Subcategories to Visual Composites: A Multi-level Framework for Object Detection. ICCV 2013: 369-376 - [c29]Sergio Escalera, Jordi Gonzàlez, Xavier Baró, Miguel Reyes, Isabelle Guyon, Vassilis Athitsos, Hugo Jair Escalante, Leonid Sigal, Antonis A. Argyros, Cristian Sminchisescu, Richard Bowden, Stan Sclaroff:
ChaLearn multi-modal gesture recognition 2013: grand challenge and workshop summary. ICMI 2013: 365-368 - [c28]Nataliya Shapovalova, Michalis Raptis, Leonid Sigal, Greg Mori:
Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization. NIPS 2013: 2409-2417 - 2012
- [j9]Micha Livne, Leonid Sigal, Nikolaus F. Troje, David J. Fleet:
Human attributes from 3D pose tracking. Comput. Vis. Image Underst. 116(5): 648-660 (2012) - [j8]Leonid Sigal, Michael Isard, Horst W. Haussecker, Michael J. Black:
Loose-limbed People: Estimating 3D Human Pose and Motion Using Non-parametric Belief Propagation. Int. J. Comput. Vis. 98(1): 15-48 (2012) - [j7]Roland Memisevic, Leonid Sigal, David J. Fleet:
Shared Kernel Information Embedding for Discriminative Inference. IEEE Trans. Pattern Anal. Mach. Intell. 34(4): 778-790 (2012) - [j6]Marek Vondrak, Leonid Sigal, Jessica K. Hodgins, Odest Chadwicke Jenkins:
Video-based 3D motion capture through biped control. ACM Trans. Graph. 31(4): 27:1-27:12 (2012) - [c27]Mykhaylo Andriluka, Leonid Sigal:
Human Context: Modeling Human-Human Interactions for Monocular 3D Pose Estimation. AMDO 2012: 260-272 - [c26]Tian Lan, Leonid Sigal, Greg Mori:
Social roles in hierarchical models for human activity recognition. CVPR 2012: 1354-1361 - [c25]Stefano Pellegrini, Jürgen Gall, Leonid Sigal, Luc Van Gool:
Destination Flow for Crowd Simulation. ECCV Workshops (3) 2012: 162-171 - [c24]Makoto Yamada, Leonid Sigal, Michalis Raptis:
No Bias Left behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation. ECCV (4) 2012: 674-687 - [c23]Peng Guan, Leonid Sigal, Valeria Reznitskaya, Jessica K. Hodgins:
Multi-linear Data-Driven Dynamic Hair Model with Efficient Hair-Body Collision Handling. Symposium on Computer Animation 2012: 295-304 - [i2]Makoto Yamada, Wittawat Jitkrittum, Leonid Sigal, Masashi Sugiyama:
High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso. CoRR abs/1202.0515 (2012) - [i1]Makoto Yamada, Leonid Sigal, Michalis Raptis, Masashi Sugiyama:
Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information. CoRR abs/1206.4116 (2012) - 2011
- [j5]Takaaki Shiratori, Hyun Soo Park, Leonid Sigal, Yaser Sheikh, Jessica K. Hodgins:
Motion capture from body-mounted cameras. ACM Trans. Graph. 30(4): 31 (2011) - [c22]Yan Tian, Yonghua Jia, Yuan Shi, Yong Liu, Hao Ji, Leonid Sigal:
Inferring 3D body pose using variational semi-parametric regression. ICIP 2011: 29-32 - [c21]Matthew D. Zeiler, Graham W. Taylor, Leonid Sigal, Iain A. Matthews, Rob Fergus:
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines. NIPS 2011: 1629-1637 - [p3]Leonid Sigal:
Articulated Pose Estimation and Tracking: Introduction. Visual Analysis of Humans 2011: 131-137 - [p2]Mykhaylo Andriluka, Leonid Sigal, Michael J. Black:
Benchmark Datasets for Pose Estimation and Tracking. Visual Analysis of Humans 2011: 253-275 - [e1]Thomas B. Moeslund, Adrian Hilton, Volker Krüger, Leonid Sigal:
Visual Analysis of Humans - Looking at People. Springer 2011, ISBN 978-0-85729-996-3 [contents] - 2010
- [j4]Leonid Sigal, Michael J. Black:
Guest Editorial: State of the Art in Image- and Video-Based Human Pose and Motion Estimation. Int. J. Comput. Vis. 87(1-2): 1-3 (2010) - [j3]Leonid Sigal, Alexandru O. Balan, Michael J. Black:
HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion. Int. J. Comput. Vis. 87(1-2): 4-27 (2010) - [j2]Edilson de Aguiar, Leonid Sigal, Adrien Treuille, Jessica K. Hodgins:
Stable spaces for real-time clothing. ACM Trans. Graph. 29(4): 106:1-106:9 (2010) - [c20]Yan Tian, Leonid Sigal, Hernán Badino, Fernando De la Torre, Yong Liu:
Latent Gaussian Mixture Regression for Human Pose Estimation. ACCV (3) 2010: 679-690 - [c19]Graham W. Taylor, Leonid Sigal, David J. Fleet, Geoffrey E. Hinton:
Dynamical binary latent variable models for 3D human pose tracking. CVPR 2010: 631-638 - [c18]Leonid Sigal, David J. Fleet, Nikolaus F. Troje, Micha Livne:
Human Attributes from 3D Pose Tracking. ECCV (3) 2010: 243-257 - [p1]Marcus A. Brubaker, Leonid Sigal, David J. Fleet:
Video-Based People Tracking. Handbook of Ambient Intelligence and Smart Environments 2010: 57-87
2000 – 2009
- 2009
- [c17]Leonid Sigal, Roland Memisevic, David J. Fleet:
Shared Kernel Information Embedding for discriminative inference. CVPR 2009: 2852-2859 - [c16]Marcus A. Brubaker, Leonid Sigal, David J. Fleet:
Estimating contact dynamics. ICCV 2009: 2389-2396 - 2008
- [b1]Leonid Sigal:
"Continuous-state Graphical Models for Object Localization, Pose Estimation and Tracking". Brown University, USA, 2008 - [c15]Marek Vondrak, Leonid Sigal, Odest Chadwicke Jenkins:
Physical simulation for probabilistic motion tracking. CVPR 2008 - 2007
- [c14]Alexandru O. Balan, Leonid Sigal, Michael J. Black, James E. Davis, Horst W. Haussecker:
Detailed Human Shape and Pose from Images. CVPR 2007 - [c13]Alexandru O. Balan, Michael J. Black, Horst W. Haussecker, Leonid Sigal:
Shining a Light on Human Pose: On Shadows, Shading and the Estimation of Pose and Shape. ICCV 2007: 1-8 - [c12]Leonid Sigal, Alexandru O. Balan, Michael J. Black:
Combined discriminative and generative articulated pose and non-rigid shape estimation. NIPS 2007: 1337-1344 - 2006
- [c11]Leonid Sigal, Michael J. Black:
Predicting 3D People from 2D Pictures. AMDO 2006: 185-195 - [c10]Leonid Sigal, Michael J. Black:
Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation. CVPR (2) 2006: 2041-2048 - [c9]Brian W. Curran, Bradley D. McCredie, Leonid Sigal, Eric M. Schwarz, Bruce M. Fleischer, Yuen H. Chan, D. Webber, Vaden Vaden, A. Goyal:
4GHz+ low-latency fixed-point and binary floating-point execution units for the POWER6 processor. ISSCC 2006: 1728-1734 - 2004
- [j1]Leonid Sigal, Stan Sclaroff, Vassilis Athitsos:
Skin Color-Based Video Segmentation under Time-Varying Illumination. IEEE Trans. Pattern Anal. Mach. Intell. 26(7): 862-877 (2004) - [c8]Sidharth Bhatia, Leonid Sigal, Michael Isard, Michael J. Black:
3D Human Limb Detection using Space Carving and Multi-View Eigen Models. CVPR Workshops 2004: 17 - [c7]Leonid Sigal, Sidharth Bhatia, Stefan Roth, Michael J. Black, Michael Isard:
Tracking Loose-Limbed People. CVPR (1) 2004: 421-428 - [c6]Stefan Roth, Leonid Sigal, Michael J. Black:
Gibbs Likelihoods for Bayesian Tracking. CVPR (1) 2004: 886-893 - [c5]Leonid Sigal, Ying Zhu, Dorin Comaniciu, Michael J. Black:
Tracking Complex Objects Using Graphical Object Models. IWCM 2004: 223-234 - 2003
- [c4]Leonid Sigal, Michael Isard, Benjamin H. Sigelman, Michael J. Black:
Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation. NIPS 2003: 1539-1546 - 2002
- [c3]Hedvig Sidenbladh, Michael J. Black, Leonid Sigal:
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking. ECCV (1) 2002: 784-800 - 2001
- [c2]Rómer Rosales, Vassilis Athitsos, Leonid Sigal, Stan Sclaroff:
3D Hand Pose Reconstruction Using Specialized Mappings. ICCV 2001: 378-387 - 2000
- [c1]Leonid Sigal, Stan Sclaroff, Vassilis Athitsos:
Estimation and Prediction of Evolving Color Distributions for Skin Segmentation under Varying Illumination. CVPR 2000: 2152-2159
Coauthor Index
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