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BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video


Sep 25, 2022
Ali Athar, Jonathon Luiten, Paul Voigtlaender, Tarasha Khurana, Achal Dave, Bastian Leibe, Deva Ramanan


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RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild


Aug 11, 2022
Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani

* In ECCV 2022 

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Differentiable Soft-Masked Attention


Jun 01, 2022
Ali Athar, Jonathon Luiten, Alexander Hermans, Deva Ramanan, Bastian Leibe

* arXiv admin note: text overlap with arXiv:2112.09131 

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Robust Modeling and Controls for Racing on the Edge


May 22, 2022
Joshua Spisak, Andrew Saba, Nayana Suvarna, Brian Mao, Chuan Tian Zhang, Chris Chang, Sebastian Scherer, Deva Ramanan


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Forecasting from LiDAR via Future Object Detection


Mar 31, 2022
Neehar Peri, Jonathon Luiten, Mengtian Li, Aljoša Ošep, Laura Leal-Taixé, Deva Ramanan

* This work has been accepted to Computer Vision and Pattern Recognition (CVPR) 2022 

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Long-Tailed Recognition via Weight Balancing


Mar 27, 2022
Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong

* CVPR 2022 paper; github: https://github.com/ShadeAlsha/LTR-weight-balancing 

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The CLEAR Benchmark: Continual LEArning on Real-World Imagery


Jan 17, 2022
Zhiqiu Lin, Jia Shi, Deepak Pathak, Deva Ramanan


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BANMo: Building Animatable 3D Neural Models from Many Casual Videos


Dec 24, 2021
Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo

* Modified Sec. 3.2 deformation model and Sec. 3.4 active sampling 

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Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs


Dec 20, 2021
Haithem Turki, Deva Ramanan, Mahadev Satyanarayanan

* Project page: https://meganerf.cmusatyalab.org/ GitHub: https://github.com/cmusatyalab/mega-nerf 

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HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images


Dec 16, 2021
Ali Athar, Jonathon Luiten, Alexander Hermans, Deva Ramanan, Bastian Leibe


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