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Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation


Nov 29, 2021
Jeongbeen Yoon, Dahyun Kang, Minsu Cho

* Accepted to WACV 2022 

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Relational Self-Attention: What's Missing in Attention for Video Understanding


Nov 02, 2021
Manjin Kim, Heeseung Kwon, Chunyu Wang, Suha Kwak, Minsu Cho

* Accepted to NeurIPS 2021 

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Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training


Nov 01, 2021
Minguk Kang, Woohyeon Shim, Minsu Cho, Jaesik Park

* 34 pages, 26 figures, 35th Conference on Neural Information Processing Systems (NeurIPS 2021) 

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Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning


Oct 29, 2021
Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho

* 21 pages, 13 figures, 7 tables. Accepted at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021) 

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Differentiable Spline Approximations


Oct 04, 2021
Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde

* 9 pages, accepted in Neurips 2021 

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Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence


Sep 11, 2021
Juhong Min, Seungwook Kim, Minsu Cho

* submitted to TPAMI. arXiv admin note: substantial text overlap with arXiv:2103.16831 

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Deep Hough Voting for Robust Global Registration


Sep 09, 2021
Junha Lee, Seungwook Kim, Minsu Cho, Jaesik Park

* Accepted to ICCV 2021 

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Learning to Discover Reflection Symmetry via Polar Matching Convolution


Sep 03, 2021
Ahyun Seo, Woohyeon Shim, Minsu Cho

* Accepted to ICCV 2021 

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Self-Calibrating Neural Radiance Fields


Sep 02, 2021
Yoonwoo Jeong, Seokjun Ahn, Christopher Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park

* Accepted in ICCV21, Project Page: https://postech-cvlab.github.io/SCNeRF/ 

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Relational Embedding for Few-Shot Classification


Aug 22, 2021
Dahyun Kang, Heeseung Kwon, Juhong Min, Minsu Cho

* Accepted at ICCV 2021 

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Sphynx: ReLU-Efficient Network Design for Private Inference


Jun 17, 2021
Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde


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Hypercorrelation Squeeze for Few-Shot Segmentation


Apr 04, 2021
Juhong Min, Dahyun Kang, Minsu Cho

* 24 pages, 23 figures 

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Convolutional Hough Matching Networks


Mar 31, 2021
Juhong Min, Minsu Cho

* Accepted to CVPR 2021 (oral presentation) 

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Embedding Transfer with Label Relaxation for Improved Metric Learning


Mar 27, 2021
Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak

* Accepted to CVPR 2021 

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Learning Self-Similarity in Space and Time as Generalized Motion for Action Recognition


Feb 14, 2021
Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho

* 8 pages, 5 figures 

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Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytope


Nov 26, 2020
Jungtaek Kim, Minsu Cho, Seungjin Choi

* 10 pages, 2 figures 

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CircleGAN: Generative Adversarial Learning across Spherical Circles


Nov 25, 2020
Woohyeon Shim, Minsu Cho

* 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada 
* 16 pages, 8 figures 

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Diversified Mutual Learning for Deep Metric Learning


Sep 09, 2020
Wonpyo Park, Wonjae Kim, Kihyun You, Minsu Cho

* Accepted to ECCV Workshop 2020 

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Learning to Compose Hypercolumns for Visual Correspondence


Jul 21, 2020
Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho

* Accepted to ECCV 2020 

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MotionSqueeze: Neural Motion Feature Learning for Video Understanding


Jul 20, 2020
Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho

* Accepted to ECCV 2020 

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IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos


Jul 13, 2020
Gyeongsik Moon, Heeseung Kwon, Kyoung Mu Lee, Minsu Cho


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Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery


Jul 07, 2020
Minsu Cho, Mohammadreza Soltani, Chinmay Hegde

* arXiv admin note: text overlap with arXiv:1906.02869 

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ESPN: Extremely Sparse Pruned Networks


Jun 28, 2020
Minsu Cho, Ameya Joshi, Chinmay Hegde


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Local-Global Video-Text Interactions for Temporal Grounding


Apr 16, 2020
Jonghwan Mun, Minsu Cho, Bohyung Han

* CVPR 2020; code available in https://github.com/JonghwanMun/LGI4temporalgrounding 

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Combinatorial 3D Shape Generation via Sequential Assembly


Apr 16, 2020
Jungtaek Kim, Hyunsoo Chung, Minsu Cho, Jaesik Park

* 22 pages, 22 figures, 1 table. All images were resized to satisfy a size limit 

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Proxy Anchor Loss for Deep Metric Learning


Mar 31, 2020
Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak

* Accepted to CVPR 2020 

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Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs


Feb 28, 2020
Sangwoo Mo, Minsu Cho, Jinwoo Shin

* Tech report; High resolution images are in https://github.com/sangwoomo/FreezeD 

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Freeze Discriminator: A Simple Baseline for Fine-tuning GANs


Feb 25, 2020
Sangwoo Mo, Minsu Cho, Jinwoo Shin

* Tech report; High resolution images are in https://github.com/sangwoomo/freezeD 

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