Publications

• • Towards Long Tailed 3D Detection
    Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong
    Conference on Robot Learning (CORL), 2022
  • Learning to Discover and Detect Objects
    Vladimir Fomenko , Ismail Elezi, Deva Ramanan, Alijosa Osep, Laura Leal-Taixe
    Conference on Neural Information Processing Systems (NeurIPS), 2022
  • Learning With a Evolving Class Ontology
    Zhiqui Lin, Deepak Pathak, Deva Ramanan, Shu Kong
    Conference on Neural Information Processing Systems (NeurIPS), 2022
  • Differentiable Raycasting for Self-supervised Occupancy Forecasting
    Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Zigler, David Held, Deva Ramanan
    European Conference on Computer Vision (ECCV), 2022
  • Multimodal Object Detection via Probabilistic Ensembling
    Yi-Ting Chen, Jinghao Shi, Zelin Ye , Christoph Mertz, Deva Ramanan, Shu Kong
    European Conference on Computer Vision (ECCV), 2022
  • Robust Modeling and Controls for Racing on the Edge
    Joshua Spisak, Andrew Saba, Nayana Suvarna, Brian Mao, Chuan Tian Zhang, Chris Chang, Sebastian Scherer, Deva Ramanan
    IEEE International Conference on Robotics and Automation (ICRA) workshop, 2022
  • Long-Tailed Recognition via Weight Balancing
    Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  • Forecasting from LiDAR via Future Object Detection
    Neehar Peri, Jonathon Luiten, Mengtian Li, Aljoša Ošep, Laura Leal-Taixé, Deva Ramanan
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  • Long-term Visual Map Sparsification with Heterogeneous GNN
    Ming-Fang Chang, Yipu Zhao, Rajvi Shah, Jakob J. Engel, Michael Kaess, Simon Lucey
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  • Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs
    Haithem Turk, Deva Ramanan, Mahadev Satyanarayanan
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  • Neural Prior for Trajectory Estimation
    Chaoyang Wang, Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  • Depth-supervised NeRF: Fewer Views and Faster Training for Free
    Kangle Deng, Andrew Liu, Jun-Yan Zhu, Achal Dave, Deva Ramanan
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  • Opening Up Open World Tracking
    Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Aljoša Ošep, Laura Leal-Taixé
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  • Neural Scene Flow Prior
    Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey
    Conference on Neural Information Processing Systems (NeurIPS), 2021
  • The CLEAR Benchmark: Continual LEArning on Real-World Imagery
    Zhiqiu Lin, Jia Shi, Deepak Pathak*, Deva Ramanan*
    Conference on Neural Information Processing Systems (NeurIPS) Track Datasets and Benchmarks, 2021
  • NeRS: Neural Reflectance Surfaces for Sparse-View 3D Reconstruction in the Wild
    Jason Zhang, Gengshan Yang, Shubham Tulsiani*, Deva Ramanan*
    Conference on Neural Information Processing Systems (NeurIPS), 2021
  • ViSER: Video Surface Embeddings for Articulated 3D Shape Reconstruction
    Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Ce Liu, Deva Ramanan
    Conference on Neural Information Processing Systems (NeurIPS), 2021
  • Self-Supervised Point Cloud Completion via Inpainting
    Himangi Mittal, Brian Okorn, Arpit Jangid, David Held
    British Machine Vision Conference (BMVC), 2021
  • FOVEA: Foveated Image Magnification for Autonomous Navigation
    Chittesh Thavamani*, Martin Li*, Nicolas Cebron, Deva Ramanan
    International Conference on Computer Vision (ICCV), 2021
  • Detecting Invisible People
    Tarasha Khurana, Achal Dave, Deva Ramanan
    International Conference on Computer Vision (ICCV), 2021
  • OpenGAN: Open-Set Recognition via Open Data Generation
    Shu Kong, Deva Ramanan
    International Conference on Computer Vision (ICCV), 2021
  • Learning Rare Category Classifiers on a Tight Labeling Budget
    Ravi Teja Mullapudi*, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian
    International Conference on Computer Vision (ICCV), 2021
  • Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories
    Fait Poms, Vishnu Sarukkai*, Ravi Teja Mullapudi*, Nimit S. Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian
    International Conference on Computer Vision (ICCV), 2021
  • HyperMap: Compressed 3D Map for Monocular Camera Registration
    Ming-Fang Chang, Joshua Mangelson, Michael Kaess, Simon Lucey
    IEEE International Conference on Robotics and Automation (ICRA), 2021
  • Probabilistic Safety Assured Adaptive Merging Control for Autonomous Vehicles
    Yiwei Lyu, Wenhao Luo, John M. Dolan
    IEEE International Conference on Robotics and Automation (ICRA), 2021
  • Learning to Robustly Negotiate Bi-Directional Lane Usage in High-Conflict Driving Scenarios
    Christoph Killing, Adam Villaflor, John M. Dolan
    IEEE International Conference on Robotics and Automation (ICRA), 2021
  • Linear Inverse Problem for Depth Completion with RGB Image and Sparse LIDAR Fusion
    Chen Fu, Christoph Mertz, John M. Dolan
    IEEE International Conference on Robotics and Automation (ICRA), 2021
  • Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning
    Zhiqian Qiao, Jeff Schneider, John M. Dolan
    IEEE International Conference on Robotics and Automation (ICRA), 2021
  • Architectural Adversarial Robustness: The Case for Deep Pursuit
    George Cazenavette, Calvin Murdoch, Simon Lucey
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  • PointNetLK Revisited
    Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  • Learning to Segment Rigid Bodies in an Open World
    Gengshan Yang, Deva Ramanan
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  • Safe Local Motion Planning with Self-Supervised Freespace Forecasting
    Peiyun Hu, Aaron Huang, John Dolan, David Held, Deva Ramanan
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  • SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images
    Chen-Hsuan Lin, Chaoyang Wang, Simon Lucey
    Advances in Neural Information Processing Systems (NeurIPS), 2020
  • Depth Completion Via Inductive Fusion of Planar LIDAR and Monocular Camera
    Chen Fu, Christoph Mertz, John M. Dolan
    Proceedings of the 2020 IEEE International Conference on Intelligent Robots and Systems (IROS), 2020
  • TAO: A Large-Scale Benchmark for Tracking Any Object
    Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan
    European Conference on Computer Vision (ECCV), 2020
  • Towards Streaming Perception
    Mengtian Li, Yu-Xiong Wang, Deva Ramanan
    European Conference on Computer Vision (ECCV), 2020
  • What You See is What You Get: Exploiting Visibility for 3D Object Detection
    Peiyun Hu, Jason Ziglar, David Held, Deva Ramanan
    Computer Vision and Pattern Recognition (CVPR), 2020
  • Upgrading Optical Flow to 3D Scene Flow through Optical Expansion
    Gengshan Yang, Deva Ramanan
    Computer Vision and Pattern Recognition (CVPR), 2020
  • Dataless Model Selection with the Deep Frame Potential
    Calvin Murdock, Simon Lucey
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
  • When to use CNNs for inverse problems
    Nathaniel Chodosh, Simon Lucey
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
  • Just Go with the Flow: Self-Supervised Scene Flow Estimation
    Himangi Mittal, Brian Okorn, David Held
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
  • Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints
    Mengtian (Martin) Li, Ersin Yumer, Deva Ramanan
    International Conference on Learning Representations (ICLR), 2020
  • Learning to Optimally Segment Point Clouds
    Peiyun Hu, David Held*, Deva Ramanan*
    IEEE Robotics and Automation Letters (RA-L) and ICRA, 2020
  • Hierarchical Deep Stereo Matching on High-resolution Images
    Gengshan Yang, Joshua Manela, Michael Happold, Deva Ramanan
    Computer Vision and Pattern Recognition (CVPR), 2019
  • Volumetric Correspondence Networks for Optical Flow
    Gengshan Yang, Deva Ramanan
    Conference on Neural Information Processing Systems (NeurIPS), 2019
  • Inferring Distributions Over Depth from a Single Image
    Gengshan Yang, Peiyun Hu, Deva Ramanan
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019