CVPR

Conditional Channel Gated Networks for Task-Aware Continual Learning

Davide Abati, Jakub Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi

Comments CVPR 2020 (oral)

HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation

Bardia Doosti, Shujon Naha, Majid Mirbagheri, David Crandall

Comments IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation

Mariko Isogawa, Ye Yuan, Matthew O'Toole, Kris Kitani

Comments CVPR 2020. Video: https://youtu.be/4HFulrdmLE8. Project page: https://marikoisogawa.github.io/project/nlos_pose

TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting

Zhuoqian Yang, Wentao Zhu, Wayne Wu, Chen Qian, Qiang Zhou, Bolei Zhou, Chen Change Loy

Comments Accepted by CVPR 2020. The first three authors contributed equally. Project page: https://yzhq97.github.io/transmomo/

DPGN: Distribution Propagation Graph Network for Few-shot Learning

Ling Yang, Liangliang Li, Zilun Zhang, Xinyu Zhou, Erjin Zhou, Yu Liu

Comments Accepted by CVPR 2020

RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network

Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy

Comments to be published in CVPR'20

Learning in the Frequency Domain

Kai Xu, Minghai Qin, Fei Sun, Yuhao Wang, Yen-Kuang Chen, Fengbo Ren

Comments Accepted to CVPR 2020; https://github.com/calmevtime/DCTNet

Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data

Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira

Comments CVPR 2020

DSNAS: Direct Neural Architecture Search without Parameter Retraining

Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin

Comments To appear in CVPR 2020

Evaluating Weakly Supervised Object Localization Methods Right

Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim

Comments CVPR 2020 camera-ready. First two authors contributed equally. Code: https://github.com/clovaai/wsolevaluation

Weakly Supervised Visual Semantic Parsing

Alireza Zareian, Svebor Karaman, Shih-Fu Chang

Comments To be presented at CVPR 2020 (oral paper)

Deep Snake for Real-Time Instance Segmentation

Sida Peng, Wen Jiang, Huaijin Pi, Xiuli Li, Hujun Bao, Xiaowei Zhou

Comments Accepted to CVPR 2020 as Oral. Add experiments on MS COCO

Dynamic Convolution: Attention over Convolution Kernels

Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu

Comments CVPR 2020 (Oral)

Looking at the right stuff: Guided semantic-gaze for autonomous driving

Anwesan Pal, Sayan Mondal, Henrik I. Christensen

Comments Paper accepted at CVPR-2020

SAL: Sign Agnostic Learning of Shapes from Raw Data

Matan Atzmon, Yaron Lipman

Comments Accepted to CVPR 2020

Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks

Aditya Golatkar, Alessandro Achille, Stefano Soatto

Comments Accepted at CVPR 2020

Hierarchical Scene Coordinate Classification and Regression for Visual Localization

Xiaotian Li, Shuzhe Wang, Yi Zhao, Jakob Verbeek, Juho Kannala

Comments CVPR 2020

Squeeze-and-Attention Networks for Semantic Segmentation

Zilong Zhong, Zhong Qiu Lin, Rene Bidart, Xiaodan Hu, Ibrahim Ben Daya, Zhifeng Li, Wei-Shi Zheng, Jonathan Li, Alexander Wong

Comments Accepted to CVPR 2020

MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

Cheng-Han Lee, Ziwei Liu, Lingyun Wu, Ping Luo

Comments To appear in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. The code, models and dataset are available at: https://github.com/switchablenorms/CelebAMask-HQ

Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation

Jean Kossaifi, Antoine Toisoul, Adrian Bulat, Yannis Panagakis, Timothy Hospedales, Maja Pantic

Comments IEEE CVPR 2020

Probabilistic Pixel-Adaptive Refinement Networks

Anne S. Wannenwetsch, Stefan Roth

Comments To appear at CVPR 2020

How Useful is Self-Supervised Pretraining for Visual Tasks?

Alejandro Newell, Jia Deng

Comments To appear in CVPR 2020

SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation

Mohsen Fayyaz, Juergen Gall

Comments CVPR 2020

Straight to the Point: Fast-forwarding Videos via Reinforcement Learning Using Textual Data

Washington Ramos, Michel Silva, Edson Araujo, Leandro Soriano Marcolino, Erickson Nascimento

Comments CVPR 2020

Look-into-Object: Self-supervised Structure Modeling for Object Recognition

Mohan Zhou, Yalong Bai, Wei Zhang, Tiejun Zhao, Tao Mei

Comments 10 pages, 7 figures, accepted by CVPR 2020

Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing

Joel Stehouwer, Amin Jourabloo, Yaojie Liu, Xiaoming Liu

Comments In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020

Noise Robust Generative Adversarial Networks

Takuhiro Kaneko, Tatsuya Harada

Comments Accepted to CVPR 2020. Project page: https://takuhirok.github.io/NR-GAN/

Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance

Zhengyu Zhao, Zhuoran Liu, Martha Larson

Comments Accepted at CVPR 2020; Code is available at https://github.com/ZhengyuZhao/PerC-Adversarial

X-Linear Attention Networks for Image Captioning

Yingwei Pan, Ting Yao, Yehao Li, Tao Mei

Comments CVPR 2020; The source code and model are publicly available at: https://github.com/Panda-Peter/image-captioning

MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

Yuan Gao, Haoping Bai, Zequn Jie, Jiayi Ma, Kui Jia, Wei Liu

Comments Accepted to CVPR2020. The first two authors contribute equally

Journal ref IEEE Conference on Computer Vision and Pattern Recognition, 2020