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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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NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild


Oct 18, 2021
Jason Y. Zhang, Gengshan Yang, Shubham Tulsiani, Deva Ramanan

* In NeurIPS 2021. v2-3: Fixed minor typos 

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Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories


Sep 13, 2021
Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit S. Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian

* Accepted to ICCV 2021; 12 pages, 12 figures 

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FOVEA: Foveated Image Magnification for Autonomous Navigation


Aug 27, 2021
Chittesh Thavamani, Mengtian Li, Nicolas Cebron, Deva Ramanan

* ICCV 2021. Code can be found on the project page at https://www.cs.cmu.edu/~mengtial/proj/fovea/ 

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Depth-supervised NeRF: Fewer Views and Faster Training for Free


Jul 06, 2021
Kangle Deng, Andrew Liu, Jun-Yan Zhu, Deva Ramanan

* Project page: http://www.cs.cmu.edu/~dsnerf/ GitHub: https://github.com/dunbar12138/DSNeRF 

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LASR: Learning Articulated Shape Reconstruction from a Monocular Video


May 06, 2021
Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu

* CVPR 2021. Project page: https://lasr-google.github.io/ 

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Opening up Open-World Tracking


Apr 22, 2021
Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Aljoša Ošep, Deva Ramanan, Bastian Leibe, Laura Leal-Taixé


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OpenGAN: Open-Set Recognition via Open Data Generation


Apr 09, 2021
Shu Kong, Deva Ramanan

* reformatting fig.1 (https://github.com/aimerykong/OpenGAN

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Streaming Self-Training via Domain-Agnostic Unlabeled Images


Apr 07, 2021
Zhiqiu Lin, Deva Ramanan, Aayush Bansal

* Project Page: https://www.cs.cmu.edu/~aayushb/SST/ 

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Multimodal Object Detection via Bayesian Fusion


Apr 07, 2021
Yi-Ting Chen, Jinghao Shi, Christoph Mertz, Shu Kong, Deva Ramanan

* https://mscvprojects.ri.cmu.edu/2020teamc 

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Video Exploration via Video-Specific Autoencoders


Mar 31, 2021
Kevin Wang, Deva Ramanan, Aayush Bansal

* Project Page: https://www.cs.cmu.edu/~aayushb/Video-ViSA/ 

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Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details


Feb 01, 2021
Achal Dave, Piotr Dollár, Deva Ramanan, Alexander Kirillov, Ross Girshick


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Learning to Segment Rigid Motions from Two Frames


Jan 11, 2021
Gengshan Yang, Deva Ramanan

* code will be released at https://github.com/gengshan-y/rigidmask 

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Detecting Invisible People


Dec 15, 2020
Tarasha Khurana, Achal Dave, Deva Ramanan

* Project page: http://www.cs.cmu.edu/~tkhurana/invisible.htm 

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Background Splitting: Finding Rare Classes in a Sea of Background


Aug 28, 2020
Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian


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What-If Motion Prediction for Autonomous Driving


Aug 24, 2020
Siddhesh Khandelwal, William Qi, Jagjeet Singh, Andrew Hartnett, Deva Ramanan

* 16 pages, 6 tables, 6 figures 

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Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild


Aug 19, 2020
Jason Y. Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, Angjoo Kanazawa

* In ECCV 2020. v2: Updated Related Work 

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4D Visualization of Dynamic Events from Unconstrained Multi-View Videos


May 27, 2020
Aayush Bansal, Minh Vo, Yaser Sheikh, Deva Ramanan, Srinivasa Narasimhan

* Project Page - http://www.cs.cmu.edu/~aayushb/Open4D/ 

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Towards Streaming Image Understanding


May 21, 2020
Mengtian Li, Yu-Xiong Wang, Deva Ramanan

* Project page is at https://www.cs.cmu.edu/~mengtial/proj/streaming/ 

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TAO: A Large-Scale Benchmark for Tracking Any Object


May 20, 2020
Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan

* Project page: http://taodataset.org/ 

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Learning Generative Models of Tissue Organization with Supervised GANs


Mar 31, 2020
Ligong Han, Robert F. Murphy, Deva Ramanan

* Accepted at WACV-18 

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Learning to Move with Affordance Maps


Feb 14, 2020
William Qi, Ravi Teja Mullapudi, Saurabh Gupta, Deva Ramanan

* Published at ICLR 2020. For code, see https://github.com/wqi/A2L 

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Unsupervised Any-to-Many Audiovisual Synthesis via Exemplar Autoencoders


Jan 13, 2020
Kangle Deng, Aayush Bansal, Deva Ramanan

* (1) Project summary is available at: https://www.youtube.com/watch?v=7BO0-Q3TLfI ; (2) Code is available at https://github.com/dunbar12138/Audiovisual-Synthesis ; and (3) A beta web-demo is available at: https://scs00197.sp.cs.cmu.edu/ 

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Hierarchical Deep Stereo Matching on High-resolution Images


Dec 13, 2019
Gengshan Yang, Joshua Manela, Michael Happold, Deva Ramanan

* CVPR 2019 

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Inferring Distributions Over Depth from a Single Image


Dec 12, 2019
Gengshan Yang, Peiyun Hu, Deva Ramanan

* IROS 2019 

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