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2020 – today
- 2024
[c165]Amy Lin, Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani:
RelPose++: Recovering 6D Poses from Sparse-view Observations. 3DV 2024: 106-115- [c164]Jonathon Luiten, Georgios Kopanas, Bastian Leibe, Deva Ramanan:
Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis. 3DV 2024: 800-809 - [c163]Shihong Liu, Samuel Yu, Zhiqiu Lin, Deepak Pathak, Deva Ramanan:
Language Models as Black-Box Optimizers for Vision-Language Models. CVPR 2024: 12687-12697 - [c162]Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong:
The Neglected Tails in Vision-Language Models. CVPR 2024: 12988-12997 - [c161]Haithem Turki, Vasu Agrawal, Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder, Deva Ramanan, Michael Zollhöfer, Christian Richardt:
HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces. CVPR 2024: 19647-19656 - [c160]Nikhil Varma Keetha, Jay Karhade, Krishna Murthy Jatavallabhula, Gengshan Yang, Sebastian Scherer, Deva Ramanan, Jonathon Luiten:
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM. CVPR 2024: 21357-21366 - [c159]Jason Y. Zhang, Amy Lin, Moneish Kumar, Tzu-Hsuan Yang, Deva Ramanan, Shubham Tulsiani:
Cameras as Rays: Pose Estimation via Ray Diffusion. ICLR 2024 - [c158]Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays:
ZeroFlow: Scalable Scene Flow via Distillation. ICLR 2024 - [c157]Zhiqiu Lin, Xinyue Chen, Deepak Pathak, Pengchuan Zhang, Deva Ramanan:
Revisiting the Role of Language Priors in Vision-Language Models. ICML 2024 - [c156]Nathaniel Chodosh, Deva Ramanan, Simon Lucey:
Re-Evaluating LiDAR Scene Flow. WACV 2024: 5993-6003 - [i130]Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong:
The Neglected Tails of Vision-Language Models. CoRR abs/2401.12425 (2024) - [i129]Kangle Deng, Timothy Omernick, Alexander Weiss, Deva Ramanan, Jun-Yan Zhu, Tinghui Zhou, Maneesh Agrawala:
FlashTex: Fast Relightable Mesh Texturing with LightControlNet. CoRR abs/2402.13251 (2024) - [i128]Jason Y. Zhang, Amy Lin, Moneish Kumar, Tzu-Hsuan Yang, Deva Ramanan, Shubham Tulsiani:
Cameras as Rays: Pose Estimation via Ray Diffusion. CoRR abs/2402.14817 (2024) - [i127]Ishan Khatri, Kyle Vedder, Neehar Peri, Deva Ramanan, James Hays:
I Can't Believe It's Not Scene Flow! CoRR abs/2403.04739 (2024) - [i126]Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé:
Better Call SAL: Towards Learning to Segment Anything in Lidar. CoRR abs/2403.13129 (2024) - [i125]Zhiqiu Lin, Deepak Pathak, Baiqi Li, Jiayao Li, Xide Xia, Graham Neubig, Pengchuan Zhang, Deva Ramanan:
Evaluating Text-to-Visual Generation with Image-to-Text Generation. CoRR abs/2404.01291 (2024) - [i124]Tarasha Khurana, Deva Ramanan:
Predicting Long-horizon Futures by Conditioning on Geometry and Time. CoRR abs/2404.11554 (2024) - [i123]Jacob Yeung, Andrew F. Luo, Gabriel Sarch, Margaret M. Henderson, Deva Ramanan, Michael J. Tarr:
Neural Representations of Dynamic Visual Stimuli. CoRR abs/2406.02659 (2024) - [i122]Mehar Khurana, Neehar Peri, Deva Ramanan, James Hays:
Shelf-Supervised Multi-Modal Pre-Training for 3D Object Detection. CoRR abs/2406.10115 (2024) - [i121]Arun Balajee Vasudevan, Neehar Peri, Jeff Schneider, Deva Ramanan:
Planning with Adaptive World Models for Autonomous Driving. CoRR abs/2406.10714 (2024) - [i120]Baiqi Li, Zhiqiu Lin, Deepak Pathak, Jiayao Li, Yixin Fei, Kewen Wu, Tiffany Ling, Xide Xia, Pengchuan Zhang, Graham Neubig, Deva Ramanan:
GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation. CoRR abs/2406.13743 (2024) - [i119]Nathaniel Chodosh, Anish Madan, Deva Ramanan, Simon Lucey:
Simultaneous Map and Object Reconstruction. CoRR abs/2406.13896 (2024) - [i118]Andrew Saba, Aderotimi Adetunji, Adam Johnson, Aadi Kothari, Matthew Sivaprakasam, Joshua Spisak, Prem Bharatia, Arjun Chauhan, Brendan Duff Jr., Noah Gasparro, Charles King, Ryan Larkin, Brian Mao, Micah Nye, Anjali Parashar, Joseph Attias, Aurimas Balciunas, Austin Brown, Chris Chang, Ming Gao, Cindy Heredia, Andrew Keats, Jose Lavariega, William Muckelroy III, Andre Slavescu, Nickolas Stathas, Nayana Suvarna, Chuan Tian Zhang, Sebastian Scherer, Deva Ramanan:
Fast and Modular Autonomy Software for Autonomous Racing Vehicles. CoRR abs/2408.15425 (2024) - 2023
- [j20]John Z. Zhang
, Shuo Yang, Gengshan Yang, Arun L. Bishop, Swaminathan Gurumurthy, Deva Ramanan, Zachary Manchester:
SLoMo: A General System for Legged Robot Motion Imitation From Casual Videos. IEEE Robotics Autom. Lett. 8(11): 7154-7161 (2023) - [c155]Tarasha Khurana, Peiyun Hu, David Held, Deva Ramanan:
Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting. CVPR 2023: 1116-1124 - [c154]Aboli Marathe, Deva Ramanan, Rahee Walambe, Ketan Kotecha:
WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models. CVPR Workshops 2023: 3318-3327 - [c153]Kangle Deng, Gengshan Yang, Deva Ramanan, Jun-Yan Zhu:
3D-aware Conditional Image Synthesis. CVPR 2023: 4434-4445 - [c152]Jeff Tan, Gengshan Yang, Deva Ramanan:
Distilling Neural Fields for Real-Time Articulated Shape Reconstruction. CVPR 2023: 4692-4701 - [c151]Chittesh Thavamani, Mengtian Li, Francesco Ferroni, Deva Ramanan:
Learning to Zoom and Unzoom. CVPR 2023: 5086-5095 - [c150]Haithem Turki, Jason Y. Zhang, Francesco Ferroni, Deva Ramanan:
SUDS: Scalable Urban Dynamic Scenes. CVPR 2023: 12375-12385 - [c149]Yang Liu, Shen Yan, Laura Leal-Taixé, James Hays, Deva Ramanan:
Soft Augmentation for Image Classification. CVPR 2023: 16241-16250 - [c148]Gengshan Yang, Chaoyang Wang, N. Dinesh Reddy, Deva Ramanan:
Reconstructing Animatable Categories from Videos. CVPR 2023: 16995-17005 - [c147]Xindi Wu, KwunFung Lau, Francesco Ferroni, Aljosa Osep, Deva Ramanan:
Pix2Map: Cross-Modal Retrieval for Inferring Street Maps from Images. CVPR 2023: 17514-17523 - [c146]Ali Athar, Alexander Hermans, Jonathon Luiten, Deva Ramanan, Bastian Leibe:
TarViS: A Unified Approach for Target-Based Video Segmentation. CVPR 2023: 18738-18748 - [c145]Zhiqiu Lin, Samuel Yu, Zhiyi Kuang, Deepak Pathak, Deva Ramanan:
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models. CVPR 2023: 19325-19337 - [c144]Gengshan Yang, Shuo Yang, John Z. Zhang, Zachary Manchester, Deva Ramanan:
PPR: Physically Plausible Reconstruction from Monocular Videos. ICCV 2023: 3891-3901 - [c143]Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, Deva Ramanan:
Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis. ICCV 2023: 17625-17636 - [c142]Erica Weng, Hana Hoshino, Deva Ramanan, Kris Kitani:
Joint Metrics Matter: A Better Standard for Trajectory Forecasting. ICCV 2023: 20258-20269 - [c141]Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan:
An Empirical Analysis of Range for 3D Object Detection. ICCV (Workshops) 2023: 4076-4085 - [c140]Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui:
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. ICML 2023: 3577-3598 - [c139]Ziqi Pang, Deva Ramanan, Mengtian Li, Yu-Xiong Wang:
Streaming Motion Forecasting for Autonomous Driving. IROS 2023: 7407-7414 - [c138]Abhinav Agarwalla, Xuhua Huang, Jason Ziglar, Francesco Ferroni, Laura Leal-Taixé, James Hays, Aljosa Osep, Deva Ramanan:
Lidar Panoptic Segmentation and Tracking without Bells and Whistles. IROS 2023: 7667-7674 - [c137]Shilpa Anna George, Haithem Turki, Ziqiang Feng, Deva Ramanan, Padmanabhan Pillai, Mahadev Satyanarayanan:
Low-Bandwidth Self-Improving Transmission of Rare Training Data. MobiCom 2023: 86:1-86:15 - [c136]Shilpa Anna George, Haithem Turki, Ziqiang Feng, Deva Ramanan, Padmanabhan Pillai, Mahadev Satyanarayanan:
Edge-based Privacy-Sensitive Live Learning for Discovery of Training Data. NetAISys@MobiSys 2023: 4:1-4:6 - [c135]Haithem Turki, Michael Zollhöfer, Christian Richardt, Deva Ramanan:
PyNeRF: Pyramidal Neural Radiance Fields. NeurIPS 2023 - [c134]Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong:
Far3Det: Towards Far-Field 3D Detection. WACV 2023: 692-701 - [c133]Ali Athar, Jonathon Luiten, Paul Voigtlaender, Tarasha Khurana, Achal Dave, Bastian Leibe, Deva Ramanan:
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video. WACV 2023: 1674-1683 - [i117]Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan, Peter Carr, James Hays:
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting. CoRR abs/2301.00493 (2023) - [i116]Ali Athar, Alexander Hermans, Jonathon Luiten, Deva Ramanan, Bastian Leibe:
TarViS: A Unified Approach for Target-based Video Segmentation. CoRR abs/2301.02657 (2023) - [i115]Xindi Wu, KwunFung Lau, Francesco Ferroni, Aljosa Osep, Deva Ramanan:
Pix2Map: Cross-modal Retrieval for Inferring Street Maps from Images. CoRR abs/2301.04224 (2023) - [i114]Zhiqiu Lin, Samuel Yu, Zhiyi Kuang, Deepak Pathak, Deva Ramanan:
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models. CoRR abs/2301.06267 (2023) - [i113]Kangle Deng, Gengshan Yang, Deva Ramanan, Jun-Yan Zhu:
3D-aware Conditional Image Synthesis. CoRR abs/2302.08509 (2023) - [i112]Tarasha Khurana, Peiyun Hu, David Held, Deva Ramanan:
Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting. CoRR abs/2302.13130 (2023) - [i111]Haithem Turki, Jason Y. Zhang, Francesco Ferroni, Deva Ramanan:
SUDS: Scalable Urban Dynamic Scenes. CoRR abs/2303.14536 (2023) - [i110]Chittesh Thavamani, Mengtian Li, Francesco Ferroni, Deva Ramanan:
Learning to Zoom and Unzoom. CoRR abs/2303.15390 (2023) - [i109]Nathaniel Chodosh, Deva Ramanan, Simon Lucey:
Re-Evaluating LiDAR Scene Flow for Autonomous Driving. CoRR abs/2304.02150 (2023) - [i108]Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, Deva Ramanan:
Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis. CoRR abs/2304.12317 (2023) - [i107]John Z. Zhang, Shuo Yang, Gengshan Yang, Arun L. Bishop, Deva Ramanan, Zachary Manchester:
SLoMo: A General System for Legged Robot Motion Imitation from Casual Videos. CoRR abs/2304.14389 (2023) - [i106]Amy Lin, Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani:
RelPose++: Recovering 6D Poses from Sparse-view Observations. CoRR abs/2305.04926 (2023) - [i105]Erica Weng, Hana Hoshino, Deva Ramanan, Kris Kitani:
Joint Metrics Matter: A Better Standard for Trajectory Forecasting. CoRR abs/2305.06292 (2023) - [i104]Gengshan Yang, Chaoyang Wang, N. Dinesh Reddy, Deva Ramanan:
Reconstructing Animatable Categories from Videos. CoRR abs/2305.06351 (2023) - [i103]Aboli Marathe, Deva Ramanan, Rahee Walambe, Ketan Kotecha:
WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models. CoRR abs/2305.07528 (2023) - [i102]Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays:
ZeroFlow: Fast Zero Label Scene Flow via Distillation. CoRR abs/2305.10424 (2023) - [i101]Zhiqiu Lin, Xinyue Chen, Deepak Pathak, Pengchuan Zhang, Deva Ramanan:
VisualGPTScore: Visio-Linguistic Reasoning with Multimodal Generative Pre-Training Scores. CoRR abs/2306.01879 (2023) - [i100]Nadine Chang, Francesco Ferroni, Michael J. Tarr, Martial Hebert, Deva Ramanan:
Thinking Like an Annotator: Generation of Dataset Labeling Instructions. CoRR abs/2306.14035 (2023) - [i99]Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan:
An Empirical Analysis of Range for 3D Object Detection. CoRR abs/2308.04054 (2023) - [i98]Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liang-Yan Gui:
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. CoRR abs/2308.09105 (2023) - [i97]Jonathon Luiten, Georgios Kopanas, Bastian Leibe, Deva Ramanan:
Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis. CoRR abs/2308.09713 (2023) - [i96]Shihong Liu, Samuel Yu, Zhiqiu Lin, Deepak Pathak, Deva Ramanan:
Language Models as Black-Box Optimizers for Vision-Language Models. CoRR abs/2309.05950 (2023) - [i95]Ziqi Pang, Deva Ramanan, Mengtian Li, Yu-Xiong Wang:
Streaming Motion Forecasting for Autonomous Driving. CoRR abs/2310.01351 (2023) - [i94]Erica Weng, Kenta Mukoya, Deva Ramanan, Kris Kitani:
Evaluating a VR System for Collecting Safety-Critical Vehicle-Pedestrian Interactions. CoRR abs/2310.05882 (2023) - [i93]Abhinav Agarwalla, Xuhua Huang, Jason Ziglar, Francesco Ferroni, Laura Leal-Taixé, James Hays, Aljosa Osep, Deva Ramanan:
Lidar Panoptic Segmentation and Tracking without Bells and Whistles. CoRR abs/2310.12464 (2023) - [i92]Haithem Turki, Michael Zollhöfer, Christian Richardt, Deva Ramanan:
PyNeRF: Pyramidal Neural Radiance Fields. CoRR abs/2312.00252 (2023) - [i91]Nikhil Varma Keetha, Jay Karhade, Krishna Murthy Jatavallabhula, Gengshan Yang, Sebastian A. Scherer, Deva Ramanan, Jonathon Luiten:
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM. CoRR abs/2312.02126 (2023) - [i90]Haithem Turki, Vasu Agrawal, Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder, Deva Ramanan, Michael Zollhöfer, Christian Richardt:
HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces. CoRR abs/2312.03160 (2023) - [i89]Yechi Ma, Neehar Peri, Shuoquan Wei, Wei Hua, Deva Ramanan, Yanan Li, Shu Kong:
Long-Tailed 3D Detection via 2D Late Fusion. CoRR abs/2312.10986 (2023) - [i88]Cheng-Yen Hsieh, Tarasha Khurana, Achal Dave, Deva Ramanan:
Tracking Any Object Amodally. CoRR abs/2312.12433 (2023) - [i87]Anish Madan, Neehar Peri, Shu Kong, Deva Ramanan:
Revisiting Few-Shot Object Detection with Vision-Language Models. CoRR abs/2312.14494 (2023) - 2022
- [c132]Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong:
Towards Long-Tailed 3D Detection. CoRL 2022: 1904-1915 - [c131]Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo:
BANMo: Building Animatable 3D Neural Models from Many Casual Videos. CVPR 2022: 2853-2863 - [c130]Ali Athar, Jonathon Luiten, Alexander Hermans, Deva Ramanan, Bastian Leibe:
HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images. CVPR 2022: 3012-3021 - [c129]Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Long- Tailed Recognition via Weight Balancing. CVPR 2022: 6887-6897 - [c128]Kangle Deng, Andrew Liu, Jun-Yan Zhu, Deva Ramanan:
Depth-supervised NeRF: Fewer Views and Faster Training for Free. CVPR 2022: 12872-12881 - [c127]Haithem Turki, Deva Ramanan, Mahadev Satyanarayanan:
Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly- Throughs. CVPR 2022: 12912-12921 - [c126]Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan:
Forecasting from LiDAR via Future Object Detection. CVPR 2022: 17181-17190 - [c125]Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Aljosa Osep, Laura Leal-Taixé:
Opening up Open World Tracking. CVPR 2022: 19023-19033 - [c124]Yi-Ting Chen, Jinghao Shi, Zelin Ye, Christoph Mertz, Deva Ramanan, Shu Kong:
Multimodal Object Detection via Probabilistic Ensembling. ECCV (9) 2022: 139-158 - [c123]Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, Deva Ramanan:
Differentiable Raycasting for Self-Supervised Occupancy Forecasting. ECCV (38) 2022: 353-369 - [c122]Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani:
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild. ECCV (31) 2022: 592-611 - [c121]Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep:
Learning to Discover and Detect Objects. NeurIPS 2022 - [c120]Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Continual Learning with Evolving Class Ontologies. NeurIPS 2022 - [i86]Zhiqiu Lin, Jia Shi, Deepak Pathak, Deva Ramanan:
The CLEAR Benchmark: Continual LEArning on Real-World Imagery. CoRR abs/2201.06289 (2022) - [i85]Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Long-Tailed Recognition via Weight Balancing. CoRR abs/2203.14197 (2022) - [i84]Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan:
Forecasting from LiDAR via Future Object Detection. CoRR abs/2203.16297 (2022) - [i83]Joshua Spisak, Andrew Saba, Nayana Suvarna, Brian Mao, Chuan Tian Zhang, Chris Chang, Sebastian A. Scherer, Deva Ramanan:
Robust Modeling and Controls for Racing on the Edge. CoRR abs/2205.10841 (2022) - [i82]Ali Athar, Jonathon Luiten, Alexander Hermans, Deva Ramanan, Bastian Leibe:
Differentiable Soft-Masked Attention. CoRR abs/2206.00182 (2022) - [i81]Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani:
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild. CoRR abs/2208.05963 (2022) - [i80]Ali Athar, Jonathon Luiten, Paul Voigtlaender, Tarasha Khurana, Achal Dave, Bastian Leibe, Deva Ramanan:
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video. CoRR abs/2209.12118 (2022) - [i79]Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, Deva Ramanan:
Differentiable Raycasting for Self-supervised Occupancy Forecasting. CoRR abs/2210.01917 (2022) - [i78]Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Learning with an Evolving Class Ontology. CoRR abs/2210.04993 (2022) - [i77]Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep:
Learning to Discover and Detect Objects. CoRR abs/2210.10774 (2022) - [i76]Yang Liu, Shen Yan, Laura Leal-Taixé, James Hays, Deva Ramanan:
Soft Augmentation for Image Classification. CoRR abs/2211.04625 (2022) - [i75]Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong:
Towards Long-Tailed 3D Detection. CoRR abs/2211.08691 (2022) - [i74]Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong:
Far3Det: Towards Far-Field 3D Detection. CoRR abs/2211.13858 (2022) - 2021
- [c119]Gengshan Yang, Deva Ramanan:
Learning To Segment Rigid Motions From Two Frames. CVPR 2021: 1266-1275 - [c118]Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian:
Background Splitting: Finding Rare Classes in a Sea of Background. CVPR 2021: 8043-8052 - [c117]Peiyun Hu, Aaron Huang, John M. Dolan, David Held, Deva Ramanan:
Safe Local Motion Planning With Self-Supervised Freespace Forecasting. CVPR 2021: 12732-12741 - [c116]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 - [c115]Shu Kong, Deva Ramanan:
OpenGAN: Open-Set Recognition via Open Data Generation. ICCV 2021: 793-802 - [c114]Tarasha Khurana, Achal Dave, Deva Ramanan:
Detecting Invisible People. ICCV 2021: 3154-3164 - [c113]Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian:
Learning Rare Category Classifiers on a Tight Labeling Budget. ICCV 2021: 8403-8412 - [c112]Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt:
Do Image Classifiers Generalize Across Time? ICCV 2021: 9641-9649 - [c111]Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit Sharad Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian:
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories. ICCV 2021: 10685-10694 - [c110]Chittesh Thavamani, Mengtian Li, Nicolas Cebron, Deva Ramanan:
FOVEA: Foveated Image Magnification for Autonomous Navigation. ICCV 2021: 15519-15528