SLoMo: A General System for Legged Robot Motion Imitation From Casual Videos von Zhang, John Z., Yang, Shuo, Yang, Gengshan, Bishop, Arun L., Gurumurthy, Swaminathan, Ramanan, Deva, Manchester, Zachary

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A laminar cortical model for 3D perception of slanted and curved surfaces and of 2D images: development, attention, and bistability von Grossberg, Stephen, Swaminathan, Gurumurthy

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Remote Effects of Highlights on Gloss Perception von Berzhanskaya, Julia, Swaminathan, Gurumurthy, Beck, Jacob, Mingolla, Ennio

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Exploiting Data and Human Knowledge for Predicting Wildlife Poaching von Swaminathan Gurumurthy, Yu, Lantao, Zhang, Chenyan, Jin, Yongchao, Li, Weiping, Zhang, Haidong, Fang, Fei

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Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark von Lee, Kibok, Yang, Hao, Chakraborty, Satyaki, Cai, Zhaowei, Swaminathan, Gurumurthy, Ravichandran, Avinash, Dabeer, Onkar

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Laminar cortical mechanisms for the perception of slanted and curved 3-D surfaces and their 2-D pictorical projections von Swaminathan, G., Grossberg, S.

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Highlights and surface gloss perception von Berzhanskaya, J., Swaminathan, G., Beck, J., Mingolla, E.

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From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers von Gurumurthy, Swaminathan, Ram, Karnik, Chen, Bingqing, Manchester, Zachary, Kolter, Zico

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High Fidelity Semantic Shape Completion for Point Clouds using Latent Optimization von Gurumurthy, Swaminathan, Agrawal, Shubham

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ReLU-QP: A GPU-Accelerated Quadratic Programming Solver for Model-Predictive Control von Bishop, Arun L, Zhang, John Z, Gurumurthy, Swaminathan, Tracy, Kevin, Manchester, Zachary

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SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes von Lemkhenter, Abdelhak, Wang, Manchen, Zancato, Luca, Swaminathan, Gurumurthy, Favaro, Paolo, Modolo, Davide

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Joint inference and input optimization in equilibrium networks von Gurumurthy, Swaminathan, Bai, Shaojie, Manchester, Zachary, Kolter, J. Zico

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MAME : Model-Agnostic Meta-Exploration von Gurumurthy, Swaminathan, Kumar, Sumit, Sycara, Katia

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Domain mapping for privacy preservation von Swaminathan, Gurumurthy, Venkatesan, Ragav

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ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers von Jain, Achin, Lee, Kibok, Swaminathan, Gurumurthy, Yang, Hao, Schiele, Bernt, Ravichandran, Avinash, Dabeer, Onkar

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Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark von Lee, Kibok, Yang, Hao, Chakraborty, Satyaki, Cai, Zhaowei, Swaminathan, Gurumurthy, Ravichandran, Avinash, Dabeer, Onkar

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Class-Incremental Learning with Strong Pre-trained Models von Wu, Tz-Ying, Swaminathan, Gurumurthy, Li, Zhizhong, Ravichandran, Avinash, Vasconcelos, Nuno, Bhotika, Rahul, Soatto, Stefano

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Omni-DETR: Omni-Supervised Object Detection with Transformers von Wang, Pei, Cai, Zhaowei, Yang, Hao, Swaminathan, Gurumurthy, Vasconcelos, Nuno, Schiele, Bernt, Soatto, Stefano

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From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers von Swaminathan Gurumurthy, Karnik Ram, Chen, Bingqing, Manchester, Zachary, Kolter, Zico

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A Meta-Learning Approach to Predicting Performance and Data Requirements von Jain, Achin, Swaminathan, Gurumurthy, Favaro, Paolo, Yang, Hao, Ravichandran, Avinash, Harutyunyan, Hrayr, Achille, Alessandro, Dabeer, Onkar, Schiele, Bernt, Swaminathan, Ashwin, Soatto, Stefano

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