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2020 – today
- 2023
[i135]Jae Hyun Lim, Nikola B. Kovachki, Ricardo Baptista, Christopher Beckham, Kamyar Azizzadenesheli, Jean Kossaifi, Vikram Voleti, Jiaming Song, Karsten Kreis, Jan Kautz, Christopher Pal, Arash Vahdat, Anima Anandkumar:
Score-based Diffusion Models in Function Space. CoRR abs/2302.07400 (2023)- 2022
- [j62]Yiran Zhong
, Charles T. Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas M. Breuel, Hongdong Li, Jan Kautz:
Displacement-Invariant Cost Computation for Stereo Matching. Int. J. Comput. Vis. 130(5): 1196-1209 (2022) - [j61]Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang:
Learning Contrastive Representation for Semantic Correspondence. Int. J. Comput. Vis. 130(5): 1293-1309 (2022) - [j60]Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang:
Correction to: Learning Contrastive Representation for Semantic Correspondence. Int. J. Comput. Vis. 130(6): 1607 (2022) - [j59]Eugene Vorontsov, Pavlo Molchanov, Matej Gazda, Christopher Beckham, Jan Kautz, Samuel Kadoury:
Towards annotation-efficient segmentation via image-to-image translation. Medical Image Anal. 82: 102624 (2022) - [j58]Yu-Ying Yeh, Koki Nagano, Sameh Khamis, Jan Kautz, Ming-Yu Liu, Ting-Chun Wang:
Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation. ACM Trans. Graph. 41(6): 231:1-231:21 (2022) - [c194]Benjamin Wu, Chao Liu, Benjamin Eckart, Jan Kautz:
Neural Interferometry: Image Reconstruction from Astronomical Interferometers Using Transformer-Conditioned Neural Fields. AAAI 2022: 2685-2693 - [c193]Xin Dong, Hongxu Yin, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov, H. T. Kung:
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks. BMVC 2022: 230 - [c192]Jiteng Mu, Shalini De Mello, Zhiding Yu, Nuno Vasconcelos, Xiaolong Wang, Jan Kautz, Sifei Liu:
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs. CVPR 2022: 10001-10010 - [c191]Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov:
GradViT: Gradient Inversion of Vision Transformers. CVPR 2022: 10011-10020 - [c190]Hongxu Yin, Arash Vahdat, Jose M. Alvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov:
A-ViT: Adaptive Tokens for Efficient Vision Transformer. CVPR 2022: 10799-10808 - [c189]Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, Jan Kautz:
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras. CVPR 2022: 11028-11039 - [c188]Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, Jose M. Alvarez:
FreeSOLO: Learning to Segment Objects without Annotations. CVPR 2022: 14156-14166 - [c187]Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas M. Breuel, Jan Kautz, Xiaolong Wang:
GroupViT: Semantic Segmentation Emerges from Text Supervision. CVPR 2022: 18113-18123 - [c186]Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolò Fusi, Arash Vahdat:
LANA: Latency Aware Network Acceleration. ECCV (12) 2022: 137-156 - [c185]Zian Wang, Wenzheng Chen, David Acuna, Jan Kautz, Sanja Fidler:
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion. ECCV (2) 2022: 380-397 - [c184]Benjamin Wu, Oliver Hennigh, Jan Kautz, Sanjay Choudhry, Wonmin Byeon:
Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations. ICCS (1) 2022: 372-379 - [c183]Xueting Li, Shalini De Mello, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz, Sifei Liu:
Learning Continuous Environment Fields via Implicit Functions. ICLR 2022 - [i134]Or Litany, Haggai Maron, David Acuna, Jan Kautz, Gal Chechik, Sanja Fidler:
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks. CoRR abs/2201.08459 (2022) - [i133]Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth:
Do Gradient Inversion Attacks Make Federated Learning Unsafe? CoRR abs/2202.06924 (2022) - [i132]Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas M. Breuel, Jan Kautz, Xiaolong Wang:
GroupViT: Semantic Segmentation Emerges from Text Supervision. CoRR abs/2202.11094 (2022) - [i131]Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, Jose M. Alvarez:
FreeSOLO: Learning to Segment Objects without Annotations. CoRR abs/2202.12181 (2022) - [i130]Benjamin Wu, Oliver Hennigh, Jan Kautz, Sanjay Choudhry, Wonmin Byeon:
Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations. CoRR abs/2202.12358 (2022) - [i129]Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov:
GradViT: Gradient Inversion of Vision Transformers. CoRR abs/2203.11894 (2022) - [i128]Amit Raj, Umar Iqbal, Koki Nagano, Sameh Khamis, Pavlo Molchanov, James Hays, Jan Kautz:
DRaCoN - Differentiable Rasterization Conditioned Neural Radiance Fields for Articulated Avatars. CoRR abs/2203.15798 (2022) - [i127]Jiteng Mu, Shalini De Mello, Zhiding Yu, Nuno Vasconcelos, Xiaolong Wang, Jan Kautz, Sifei Liu:
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs. CoRR abs/2203.16521 (2022) - [i126]Jonathan Tremblay, Moustafa Meshry, Alex Evans, Jan Kautz, Alexander Keller, Sameh Khamis, Charles T. Loop, Nathan Morrical, Koki Nagano, Towaki Takikawa, Stan Birchfield:
RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis. CoRR abs/2205.07058 (2022) - [i125]Ali Hatamizadeh, Hongxu Yin, Jan Kautz, Pavlo Molchanov:
Global Context Vision Transformers. CoRR abs/2206.09959 (2022) - [i124]Zian Wang, Wenzheng Chen, David Acuna, Jan Kautz, Sanja Fidler:
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion. CoRR abs/2208.09480 (2022) - [i123]Yu-Ying Yeh, Koki Nagano, Sameh Khamis, Jan Kautz, Ming-Yu Liu, Ting-Chun Wang:
Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation. CoRR abs/2209.10510 (2022) - [i122]Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz:
PhysDiff: Physics-Guided Human Motion Diffusion Model. CoRR abs/2212.02500 (2022) - [i121]Umar Iqbal, Akin Caliskan, Koki Nagano, Sameh Khamis, Pavlo Molchanov, Jan Kautz:
RANA: Relightable Articulated Neural Avatars. CoRR abs/2212.03237 (2022) - 2021
- [j57]Aysegul Dundar, Ming-Yu Liu, Zhiding Yu, Ting-Chun Wang, John Zedlewski, Jan Kautz:
Domain Stylization: A Fast Covariance Matching Framework Towards Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2360-2372 (2021) - [c182]Umar Iqbal, Kevin Xie, Yunrong Guo, Jan Kautz, Pavlo Molchanov:
KAMA: 3D Keypoint Aware Body Mesh Articulation. 3DV 2021: 689-699 - [c181]Xitong Yang, Xiaodong Yang, Sifei Liu, Deqing Sun, Larry Davis, Jan Kautz:
Hierarchical Contrastive Motion Learning for Video Action Recognition. BMVC 2021: 109 - [c180]Benjamin Eckart, Wentao Yuan, Chao Liu, Jan Kautz:
Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models. CVPR 2021: 8248-8257 - [c179]Yang Fu, Sifei Liu, Umar Iqbal, Shalini De Mello, Humphrey Shi, Jan Kautz:
Learning to Track Instances without Video Annotations. CVPR 2021: 8680-8689 - [c178]Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj S. Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, Dieter Fox:
DexYCB: A Benchmark for Capturing Hand Grasping of Objects. CVPR 2021: 9044-9053 - [c177]Rakshit Sunil Kothari, Shalini De Mello, Umar Iqbal, Wonmin Byeon, Seonwook Park, Jan Kautz:
Weakly-Supervised Physically Unconstrained Gaze Estimation. CVPR 2021: 9980-9989 - [c176]Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen:
Binary TTC: A Temporal Geofence for Autonomous Navigation. CVPR 2021: 12946-12955 - [c175]Hongxu Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov:
See Through Gradients: Image Batch Recovery via GradInversion. CVPR 2021: 16337-16346 - [c174]Siva Karthik Mustikovela, Shalini De Mello, Aayush Prakash, Umar Iqbal, Sifei Liu, Thu Nguyen-Phuoc, Carsten Rother, Jan Kautz:
Self-Supervised Object Detection via Generative Image Synthesis. ICCV 2021: 8589-8598 - [c173]Zian Wang, Jonah Philion, Sanja Fidler, Jan Kautz:
Learning Indoor Inverse Rendering with 3D Spatially-Varying Lighting. ICCV 2021: 12518-12527 - [c172]Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Jan Kautz, Yale Song:
Parameter Efficient Multimodal Transformers for Video Representation Learning. ICLR 2021 - [c171]Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat:
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models. ICLR 2021 - [c170]Jyoti Aneja, Alexander G. Schwing, Jan Kautz, Arash Vahdat:
A Contrastive Learning Approach for Training Variational Autoencoder Priors. NeurIPS 2021: 480-493 - [c169]Zhiding Yu, Rui Huang, Wonmin Byeon, Sifei Liu, Guilin Liu, Thomas M. Breuel, Anima Anandkumar, Jan Kautz:
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation. NeurIPS 2021: 4919-4932 - [c168]Arash Vahdat, Karsten Kreis, Jan Kautz:
Score-based Generative Modeling in Latent Space. NeurIPS 2021: 11287-11302 - [i120]Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen:
Binary TTC: A Temporal Geofence for Autonomous Navigation. CoRR abs/2101.04777 (2021) - [i119]Jae Shin Yoon, Kihwan Kim, Jan Kautz, Hyun Soo Park:
Neural 3D Clothes Retargeting from a Single Image. CoRR abs/2102.00062 (2021) - [i118]Yang Fu, Sifei Liu, Umar Iqbal, Shalini De Mello, Humphrey Shi, Jan Kautz:
Learning to Track Instances without Video Annotations. CoRR abs/2104.00287 (2021) - [i117]Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj S. Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, Dieter Fox:
DexYCB: A Benchmark for Capturing Hand Grasping of Objects. CoRR abs/2104.04631 (2021) - [i116]Hongxu Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov:
See through Gradients: Image Batch Recovery via GradInversion. CoRR abs/2104.07586 (2021) - [i115]Umar Iqbal, Kevin Xie, Yunrong Guo, Jan Kautz, Pavlo Molchanov:
KAMA: 3D Keypoint Aware Body Mesh Articulation. CoRR abs/2104.13502 (2021) - [i114]Rakshit Sunil Kothari, Shalini De Mello, Umar Iqbal, Wonmin Byeon, Seonwook Park, Jan Kautz:
Weakly-Supervised Physically Unconstrained Gaze Estimation. CoRR abs/2105.09803 (2021) - [i113]Arash Vahdat, Karsten Kreis, Jan Kautz:
Score-based Generative Modeling in Latent Space. CoRR abs/2106.05931 (2021) - [i112]Adrian Spurr, Pavlo Molchanov, Umar Iqbal, Jan Kautz, Otmar Hilliges:
Adversarial Motion Modelling helps Semi-supervised Hand Pose Estimation. CoRR abs/2106.05954 (2021) - [i111]Xin Dong, Hongxu Yin, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov:
Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion. CoRR abs/2107.06304 (2021) - [i110]Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolò Fusi, Arash Vahdat:
HANT: Hardware-Aware Network Transformation. CoRR abs/2107.10624 (2021) - [i109]Zian Wang, Jonah Philion, Sanja Fidler, Jan Kautz:
Learning Indoor Inverse Rendering with 3D Spatially-Varying Lighting. CoRR abs/2109.06061 (2021) - [i108]Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang:
Learning Contrastive Representation for Semantic Correspondence. CoRR abs/2109.10967 (2021) - [i107]Huanrui Yang, Hongxu Yin, Pavlo Molchanov, Hai Li, Jan Kautz:
NViT: Vision Transformer Compression and Parameter Redistribution. CoRR abs/2110.04869 (2021) - [i106]Siva Karthik Mustikovela, Shalini De Mello, Aayush Prakash, Umar Iqbal, Sifei Liu, Thu Nguyen-Phuoc, Carsten Rother, Jan Kautz:
Self-Supervised Object Detection via Generative Image Synthesis. CoRR abs/2110.09848 (2021) - [i105]Xueting Li, Shalini De Mello, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz, Sifei Liu:
Learning Continuous Environment Fields via Implicit Functions. CoRR abs/2111.13997 (2021) - [i104]Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, Jan Kautz:
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras. CoRR abs/2112.01524 (2021) - [i103]Hongxu Yin, Arash Vahdat, Jose M. Alvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov:
AdaViT: Adaptive Tokens for Efficient Vision Transformer. CoRR abs/2112.07658 (2021) - 2020
- [j56]Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang:
Exploiting Semantics for Face Image Deblurring. Int. J. Comput. Vis. 128(7): 1829-1846 (2020) - [j55]Jun-Yan Zhu, Hongsheng Li, Eli Shechtman, Ming-Yu Liu, Jan Kautz, Antonio Torralba:
Guest Editorial: Generative Adversarial Networks for Computer Vision. Int. J. Comput. Vis. 128(10): 2363-2365 (2020) - [j54]Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz:
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1408-1423 (2020) - [c167]Kevin Lin, Ming-Yu Liu, Ming-Ting Sun, Jan Kautz:
Learning to Generate Multiple Style Transfer Outputs for an Input Sentence. NGT@ACL 2020: 10-23 - [c166]Abhishek Badki, Alejandro J. Troccoli, Kihwan Kim, Jan Kautz, Pradeep Sen, Orazio Gallo:
Bi3D: Stereo Depth Estimation via Binary Classifications. CVPR 2020: 1597-1605 - [c165]Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen:
Meshlet Priors for 3D Mesh Reconstruction. CVPR 2020: 2846-2855 - [c164]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 - [c163]Mark Boss, Varun Jampani, Kihwan Kim, Hendrik P. A. Lensch, Jan Kautz:
Two-Shot Spatially-Varying BRDF and Shape Estimation. CVPR 2020: 3981-3990 - [c162]Umar Iqbal, Pavlo Molchanov, Jan Kautz:
Weakly-Supervised 3D Human Pose Learning via Multi-View Images in the Wild. CVPR 2020: 5242-5251 - [c161]Jae Shin Yoon, Kihwan Kim, Orazio Gallo, Hyun Soo Park, Jan Kautz:
Novel View Synthesis of Dynamic Scenes With Globally Coherent Depths From a Monocular Camera. CVPR 2020: 5335-5344 - [c160]Hongxu Yin, Pavlo Molchanov, Jose M. Alvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz:
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion. CVPR 2020: 8712-8721 - [c159]Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz:
Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection. CVPR 2020: 10595-10604 - [c158]Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz:
UNAS: Differentiable Architecture Search Meets Reinforcement Learning. CVPR 2020: 11263-11272 - [c157]Yang Zou, Xiaodong Yang, Zhiding Yu, B. V. K. Vijaya Kumar, Jan Kautz:
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification. ECCV (2) 2020: 87-104 - [c156]Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Otmar Hilliges, Jan Kautz:
Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints. ECCV (17) 2020: 211-228 - [c155]Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz:
UFO2: A Unified Framework Towards Omni-supervised Object Detection. ECCV (19) 2020: 288-313 - [c154]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 - [c153]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 - [c152]Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem:
Contrastive Learning for Weakly Supervised Phrase Grounding. ECCV (3) 2020: 752-768 - [c151]Beidi Chen, Weiyang Liu, Zhiding Yu, Jan Kautz, Anshumali Shrivastava, Animesh Garg, Animashree Anandkumar:
Angular Visual Hardness. ICML 2020: 1637-1648 - [c150]Richard Li, Eric Whitmire, Michael Stengel, Ben Boudaoud, Jan Kautz, David Luebke, Shwetak N. Patel, Kaan Aksit:
Optical Gaze Tracking with Spatially-Sparse Single-Pixel Detectors. ISMAR 2020: 117-126 - [c149]Xueting Li, Sifei Liu, Shalini De Mello, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz:
Online Adaptation for Consistent Mesh Reconstruction in the Wild. NeurIPS 2020 - [c148]Jiahao Su, Wonmin Byeon, Jean Kossaifi, Furong Huang, Jan Kautz, Anima Anandkumar:
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning. NeurIPS 2020 - [c147]Arash Vahdat, Jan Kautz:
NVAE: A Deep Hierarchical Variational Autoencoder. NeurIPS 2020 - [c146]Matthias Innmann, Kihwan Kim, Jinwei Gu, Matthias Nießner, Charles T. Loop, Marc Stamminger, Jan Kautz:
NRMVS: Non-Rigid Multi-View Stereo. WACV 2020: 2743-2752 - [i102]Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen:
Meshlet Priors for 3D Mesh Reconstruction. CoRR abs/2001.01744 (2020) - [i101]Tailin Wu, Thomas M. Breuel, Michael Skuhersky, Jan Kautz:
Discovering Nonlinear Relations with Minimum Predictive Information Regularization. CoRR abs/2001.01885 (2020) - [i100]Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang:
Deep Semantic Face Deblurring. CoRR abs/2001.06822 (2020) - [i99]Kevin Lin, Ming-Yu Liu, Ming-Ting Sun, Jan Kautz:
Learning to Generate Multiple Style Transfer Outputs for an Input Sentence. CoRR abs/2002.06525 (2020) - [i98]Jiahao Su, Wonmin Byeon, Furong Huang, Jan Kautz, Animashree Anandkumar:
Convolutional Tensor-Train LSTM for Spatio-temporal Learning. CoRR abs/2002.09131 (2020) - [i97]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) - [i96]Umar Iqbal, Pavlo Molchanov, Jan Kautz:
Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild. CoRR abs/2003.07581 (2020) - [i95]Kaan Aksit, Jan Kautz, David Luebke:
Gaze-Sensing LEDs for Head Mounted Displays. CoRR abs/2003.08499 (2020) - [i94]Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Otmar Hilliges, Jan Kautz:
Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints. CoRR abs/2003.09282 (2020) - [i93]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) - [i92]Jae Shin Yoon, Kihwan Kim, Orazio Gallo, Hyun Soo Park, Jan Kautz:
Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths from a Monocular Camera. CoRR abs/2004.01294 (2020) - [i91]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) - [i90]Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz:
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection. CoRR abs/2004.04725 (2020) - [i89]Abhishek Badki, Alejandro J. Troccoli, Kihwan Kim, Jan Kautz, Pradeep Sen, Orazio Gallo:
Bi3D: Stereo Depth Estimation via Binary Classifications. CoRR abs/2005.07274 (2020) - [i88]Mengyuan Yan, Qingyun Sun, Iuri Frosio, Stephen Tyree, Jan Kautz:
How to Close Sim-Real Gap? Transfer with Segmentation! CoRR abs/2005.07695 (2020) - [i87]Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem:
Contrastive Learning for Weakly Supervised Phrase Grounding. CoRR abs/2006.09920 (2020) - [i86]Arash Vahdat, Jan Kautz:
NVAE: A Deep Hierarchical Variational Autoencoder. CoRR abs/2007.03898 (2020) - [i85]Yang Zou, Xiaodong Yang, Zhiding Yu, B. V. K. Vijaya Kumar, Jan Kautz:
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification. CoRR abs/2007.10315 (2020) - [i84]Xitong Yang, Xiaodong Yang, Sifei Liu, Deqing Sun, Larry Davis, Jan Kautz:
Hierarchical Contrastive Motion Learning for Video Action Recognition. CoRR abs/2007.10321 (2020) - [i83]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) - [i82]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) - [i81]Richard Li, Eric Whitmire, Michael Stengel, Ben Boudaoud, Jan Kautz, David Luebke, Shwetak N. Patel, Kaan Aksit:
Optical Gaze Tracking with Spatially-Sparse Single-Pixel Detectors. CoRR abs/2009.06875 (2020) - [i80]Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat:
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models. CoRR abs/2010.00654 (2020) - [i79]Jyoti Aneja, Alexander G. Schwing, Jan Kautz, Arash Vahdat:
NCP-VAE: Variational Autoencoders with Noise Contrastive Priors. CoRR abs/2010.02917 (2020) - [i78]