Deva Ramanan

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 232

Top Venues

Publications

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 (2024)
Tarasha Khurana, Deva Ramanan
Predicting Long-horizon Futures by Conditioning on Geometry and Time. CoRR (2024)
Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé
Better Call SAL: Towards Learning to Segment Anything in Lidar. CoRR (2024)
Jonathon Luiten, Georgios Kopanas, Bastian Leibe, Deva Ramanan
Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis. 3DV (2024)
Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong
The Neglected Tails of Vision-Language Models. CoRR (2024)
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)
Amy Lin, Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani
RelPose++: Recovering 6D Poses from Sparse-view Observations. 3DV (2024)
Nathaniel Chodosh, Anish Madan, Deva Ramanan, Simon Lucey
Simultaneous Map and Object Reconstruction. CoRR (2024)
Mehar Khurana, Neehar Peri, Deva Ramanan, James Hays
Shelf-Supervised Multi-Modal Pre-Training for 3D Object Detection. CoRR (2024)
Ishan Khatri, Kyle Vedder, Neehar Peri, Deva Ramanan, James Hays
I Can't Believe It's Not Scene Flow! CoRR (2024)
Nathaniel Chodosh, Deva Ramanan, Simon Lucey
Re-Evaluating LiDAR Scene Flow. WACV (2024)
Jason Y. Zhang, Amy Lin, Moneish Kumar, Tzu-Hsuan Yang, Deva Ramanan, Shubham Tulsiani
Cameras as Rays: Pose Estimation via Ray Diffusion. ICLR (2024)
Arun Balajee Vasudevan, Neehar Peri, Jeff Schneider, Deva Ramanan
Planning with Adaptive World Models for Autonomous Driving. CoRR (2024)
Jason Y. Zhang, Amy Lin, Moneish Kumar, Tzu-Hsuan Yang, Deva Ramanan, Shubham Tulsiani
Cameras as Rays: Pose Estimation via Ray Diffusion. CoRR (2024)
Kangle Deng, Timothy Omernick, Alexander Weiss, Deva Ramanan, Jun-Yan Zhu, Tinghui Zhou, Maneesh Agrawala
FlashTex: Fast Relightable Mesh Texturing with LightControlNet. CoRR (2024)
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 (2024)
Jacob Yeung, Andrew F. Luo, Gabriel Sarch, Margaret M. Henderson, Deva Ramanan, Michael J. Tarr
Neural Representations of Dynamic Visual Stimuli. CoRR (2024)
Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liang-Yan Gui
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. CoRR (2023)
Erica Weng, Hana Hoshino, Deva Ramanan, Kris Kitani
Joint Metrics Matter: A Better Standard for Trajectory Forecasting. CoRR (2023)
Nadine Chang, Francesco Ferroni, Michael J. Tarr, Martial Hebert, Deva Ramanan
Thinking Like an Annotator: Generation of Dataset Labeling Instructions. CoRR (2023)
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)
Aboli Marathe, Deva Ramanan, Rahee Walambe, Ketan Kotecha
WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models. CVPR Workshops (2023)
Ali Athar, Alexander Hermans, Jonathon Luiten, Deva Ramanan, Bastian Leibe
TarViS: A Unified Approach for Target-Based Video Segmentation. CVPR (2023)
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)
Zhiqiu Lin, Samuel Yu, Zhiyi Kuang, Deepak Pathak, Deva Ramanan
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models. CVPR (2023)
Gengshan Yang, Chaoyang Wang, N. Dinesh Reddy, Deva Ramanan
Reconstructing Animatable Categories from Videos. CVPR (2023)
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 (2023)
Anish Madan, Neehar Peri, Shu Kong, Deva Ramanan
Revisiting Few-Shot Object Detection with Vision-Language Models. CoRR (2023)
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 (2023)
Erica Weng, Hana Hoshino, Deva Ramanan, Kris Kitani
Joint Metrics Matter: A Better Standard for Trajectory Forecasting. ICCV (2023)
Shihong Liu, Samuel Yu, Zhiqiu Lin, Deepak Pathak, Deva Ramanan
Language Models as Black-Box Optimizers for Vision-Language Models. CoRR (2023)
Cheng-Yen Hsieh, Tarasha Khurana, Achal Dave, Deva Ramanan
Tracking Any Object Amodally. CoRR (2023)
Shilpa Anna George, Haithem Turki, Ziqiang Feng, Deva Ramanan, Padmanabhan Pillai, Mahadev Satyanarayanan
Low-Bandwidth Self-Improving Transmission of Rare Training Data. MobiCom (2023)
Jeff Tan, Gengshan Yang, Deva Ramanan
Distilling Neural Fields for Real-Time Articulated Shape Reconstruction. CVPR (2023)
Zhiqiu Lin, Xinyue Chen, Deepak Pathak, Pengchuan Zhang, Deva Ramanan
VisualGPTScore: Visio-Linguistic Reasoning with Multimodal Generative Pre-Training Scores. CoRR (2023)
Gengshan Yang, Chaoyang Wang, N. Dinesh Reddy, Deva Ramanan
Reconstructing Animatable Categories from Videos. CoRR (2023)
Tarasha Khurana, Peiyun Hu, David Held, Deva Ramanan
Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting. CVPR (2023)
Yechi Ma, Neehar Peri, Shuoquan Wei, Wei Hua, Deva Ramanan, Yanan Li, Shu Kong
Long-Tailed 3D Detection via 2D Late Fusion. CoRR (2023)
Chittesh Thavamani, Mengtian Li, Francesco Ferroni, Deva Ramanan
Learning to Zoom and Unzoom. CoRR (2023)
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 (2023)
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)
Chittesh Thavamani, Mengtian Li, Francesco Ferroni, Deva Ramanan
Learning to Zoom and Unzoom. CVPR (2023)
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)
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 (2023)
Xindi Wu, KwunFung Lau, Francesco Ferroni, Aljosa Osep, Deva Ramanan
Pix2Map: Cross-Modal Retrieval for Inferring Street Maps from Images. CVPR (2023)
Erica Weng, Kenta Mukoya, Deva Ramanan, Kris Kitani
Evaluating a VR System for Collecting Safety-Critical Vehicle-Pedestrian Interactions. CoRR (2023)
Haithem Turki, Michael Zollhöfer, Christian Richardt, Deva Ramanan
PyNeRF: Pyramidal Neural Radiance Fields. NeurIPS (2023)
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 (2023)
Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, Deva Ramanan
Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis. CoRR (2023)
Haithem Turki, Michael Zollhöfer, Christian Richardt, Deva Ramanan
PyNeRF: Pyramidal Neural Radiance Fields. CoRR (2023)
Xindi Wu, KwunFung Lau, Francesco Ferroni, Aljosa Osep, Deva Ramanan
Pix2Map: Cross-modal Retrieval for Inferring Street Maps from Images. CoRR (2023)
Ziqi Pang, Deva Ramanan, Mengtian Li, Yu-Xiong Wang
Streaming Motion Forecasting for Autonomous Driving. IROS (2023)
Haithem Turki, Jason Y. Zhang, Francesco Ferroni, Deva Ramanan
SUDS: Scalable Urban Dynamic Scenes. CVPR (2023)
Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong
Far3Det: Towards Far-Field 3D Detection. WACV (2023)
Tarasha Khurana, Peiyun Hu, David Held, Deva Ramanan
Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting. CoRR (2023)
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 (2023)
Jonathon Luiten, Georgios Kopanas, Bastian Leibe, Deva Ramanan
Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis. CoRR (2023)
Ali Athar, Alexander Hermans, Jonathon Luiten, Deva Ramanan, Bastian Leibe
TarViS: A Unified Approach for Target-based Video Segmentation. CoRR (2023)
Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan
An Empirical Analysis of Range for 3D Object Detection. CoRR (2023)
Zhiqiu Lin, Samuel Yu, Zhiyi Kuang, Deepak Pathak, Deva Ramanan
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models. CoRR (2023)
Aboli Marathe, Deva Ramanan, Rahee Walambe, Ketan Kotecha
WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models. CoRR (2023)
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) (2023)
Nathaniel Chodosh, Deva Ramanan, Simon Lucey
Re-Evaluating LiDAR Scene Flow for Autonomous Driving. CoRR (2023)
Kangle Deng, Gengshan Yang, Deva Ramanan, Jun-Yan Zhu
3D-aware Conditional Image Synthesis. CVPR (2023)
Gengshan Yang, Shuo Yang, John Z. Zhang, Zachary Manchester, Deva Ramanan
PPR: Physically Plausible Reconstruction from Monocular Videos. ICCV (2023)
Kangle Deng, Gengshan Yang, Deva Ramanan, Jun-Yan Zhu
3D-aware Conditional Image Synthesis. CoRR (2023)
Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. ICML (2023)
Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, Deva Ramanan
Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis. ICCV (2023)
Ziqi Pang, Deva Ramanan, Mengtian Li, Yu-Xiong Wang
Streaming Motion Forecasting for Autonomous Driving. CoRR (2023)
Amy Lin, Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani
RelPose++: Recovering 6D Poses from Sparse-view Observations. CoRR (2023)
Haithem Turki, Jason Y. Zhang, Francesco Ferroni, Deva Ramanan
SUDS: Scalable Urban Dynamic Scenes. CoRR (2023)
Yang Liu, Shen Yan, Laura Leal-Taixé, James Hays, Deva Ramanan
Soft Augmentation for Image Classification. CVPR (2023)
Yi-Ting Chen, Jinghao Shi, Zelin Ye, Christoph Mertz, Deva Ramanan, Shu Kong
Multimodal Object Detection via Probabilistic Ensembling. ECCV (9) (2022)
Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan
Forecasting from LiDAR via Future Object Detection. CVPR (2022)
Zhiqiu Lin, Jia Shi, Deepak Pathak, Deva Ramanan
The CLEAR Benchmark: Continual LEArning on Real-World Imagery. CoRR (2022)
Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep
Learning to Discover and Detect Objects. CoRR (2022)
Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep
Learning to Discover and Detect Objects. NeurIPS (2022)
Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo
BANMo: Building Animatable 3D Neural Models from Many Casual Videos. CVPR (2022)
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)
Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan
Forecasting from LiDAR via Future Object Detection. CoRR (2022)
Ali Athar, Jonathon Luiten, Alexander Hermans, Deva Ramanan, Bastian Leibe
Differentiable Soft-Masked Attention. CoRR (2022)
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)
Yang Liu, Shen Yan, Laura Leal-Taixé, James Hays, Deva Ramanan
Soft Augmentation for Image Classification. CoRR (2022)
Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong
Learning with an Evolving Class Ontology. CoRR (2022)
Kangle Deng, Andrew Liu, Jun-Yan Zhu, Deva Ramanan
Depth-supervised NeRF: Fewer Views and Faster Training for Free. CVPR (2022)
Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong
Towards Long-Tailed 3D Detection. CoRL (2022)
Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong
Long-Tailed Recognition via Weight Balancing. CoRR (2022)
Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong
Long- Tailed Recognition via Weight Balancing. CVPR (2022)
Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, Deva Ramanan
Differentiable Raycasting for Self-supervised Occupancy Forecasting. CoRR (2022)
Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, Deva Ramanan
Differentiable Raycasting for Self-Supervised Occupancy Forecasting. ECCV (38) (2022)
Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild. CoRR (2022)
Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild. ECCV (31) (2022)
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 (2022)
Haithem Turki, Deva Ramanan, Mahadev Satyanarayanan
Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly- Throughs. CVPR (2022)
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 (2022)
Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong
Far3Det: Towards Far-Field 3D Detection. CoRR (2022)
Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong
Continual Learning with Evolving Class Ontologies. NeurIPS (2022)
Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong
Towards Long-Tailed 3D Detection. CoRR (2022)
Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Aljosa Osep, Deva Ramanan, Bastian Leibe, Laura Leal-Taixé
Opening up Open-World Tracking. CoRR (2021)
Peiyun Hu, Aaron Huang, John M. Dolan, David Held, Deva Ramanan
Safe Local Motion Planning With Self-Supervised Freespace Forecasting. CVPR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Deva Ramanan