CVPR

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell

Comments Published at IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation

Jiaming Sun, Linghao Chen, Yiming Xie, Siyu Zhang, Qinhong Jiang, Xiaowei Zhou, Hujun Bao

Comments Accepted to CVPR 2020. Code is available at https://github.com/zju3dv/disprcnn

Unsupervised Person Re-identification via Softened Similarity Learning

Yutian Lin, Lingxi Xie, Yu Wu, Chenggang Yan, Qi Tian

Comments Accepted to CVPR 2020

Dense Regression Network for Video Grounding

Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, Chuang Gan

Comments CVPR 2020

MUXConv: Information Multiplexing in Convolutional Neural Networks

Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti

Comments CVPR 2020

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu

Comments Accepted to CVPR 2020; Project Page: https://github.com/BangguWu/ECANet

Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision

Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön

Comments CVPR Workshops 2020. Code is available at https://github.com/fregu856/evaluating_bdl

3DRegNet: A Deep Neural Network for 3D Point Registration

G. Dias Pais, Srikumar Ramalingam, Venu Madhav Govindu, Jacinto C. Nascimento, Rama Chellappa, Pedro Miraldo

Comments 15 pages, 8 figures, 6 tables

Journal ref IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020

Scene Recomposition by Learning-based ICP

Hamid Izadinia, Steven M. Seitz

Comments To appear at CVPR 2020

Depth Sensing Beyond LiDAR Range

Kai Zhang, Jiaxin Xie, Noah Snavely, Qifeng Chen

Comments Accepted to CVPR 2020

Learning Generative Models of Shape Handles

Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomir Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji

Comments 11 pages, 11 figures, accepted do CVPR 2020

Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment

Qiuyu Chen, Wei Zhang, Ning Zhou, Peng Lei, Yi Xu, Yu Zheng, Jianping Fan

Comments Accepted by CVPR 2020

LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood

Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng

Comments Accepted to CVPR 2020

Deblurring using Analysis-Synthesis Networks Pair

Adam Kaufman, Raanan Fattal

Journal ref Computer Vision and Pattern Recognition (CVPR) 2020

DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes

Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas Funkhouser, Caroline Pantofaru, David Ross, Larry S. Davis, Alireza Fathi

Comments To appear in CVPR 2020

Regularizing Class-wise Predictions via Self-knowledge Distillation

Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin

Comments Accepted to CVPR 2020. Code is available at https://github.com/alinlab/cs-kd

Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks

Sungha Choi, Joanne T. Kim, Jaegul Choo

Comments Accepted to CVPR 2020

DualSDF: Semantic Shape Manipulation using a Two-Level Representation

Zekun Hao, Hadar Averbuch-Elor, Noah Snavely, Serge Belongie

Comments Published in CVPR 2020

There and Back Again: Revisiting Backpropagation Saliency Methods

Sylvestre-Alvise Rebuffi, Ruth Fong, Xu Ji, Andrea Vedaldi

Comments CVPR 2020

Self-Supervised Scene De-occlusion

Xiaohang Zhan, Xingang Pan, Bo Dai, Ziwei Liu, Dahua Lin, Chen Change Loy

Comments Accepted to CVPR 2020 as oral. Project page: https://xiaohangzhan.github.io/projects/deocclusion/

Appearance Shock Grammar for Fast Medial Axis Extraction from Real Images

Charles-Olivier Dufresne Camaro, Morteza Rezanejad, Stavros Tsogkas, Kaleem Siddiqi, Sven Dickinson

Comments Accepted to CVPR 2020

Geometrically Principled Connections in Graph Neural Networks

Shunwang Gong, Mehdi Bahri, Michael M. Bronstein, Stefanos Zafeiriou

Comments Presented at Computer Vision and Pattern Recognition (CVPR), 2020

Cascaded Deep Video Deblurring Using Temporal Sharpness Prior

Jinshan Pan, Haoran Bai, Jinhui Tang

Comments CVPR 2020. The code is available at https://github.com/csbhr/CDVD-TSP

Robust 3D Self-portraits in Seconds

Zhe Li, Tao Yu, Chuanyu Pan, Zerong Zheng, Yebin Liu

Comments CVPR 2020, oral

Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics

Simon Jenni, Hailin Jin, Paolo Favaro

Comments CVPR 2020 (oral)

Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization

Jing Jin, Junhui Hou, Jie Chen, Sam Kwong

Comments This paper was accepted by CVPR 2020

Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching

Pengpeng Liu, Irwin King, Michael Lyu, Jia Xu

Comments Published at the Conference on Computer Vision and Pattern Recognition (CVPR 2020)

Deep Homography Estimation for Dynamic Scenes

Hoang Le, Feng Liu, Shu Zhang, Aseem Agarwala

Comments CVPR 2020, https://github.com/lcmhoang/hmg-dynamics

Any-Shot Sequential Anomaly Detection in Surveillance Videos

Keval Doshi, Yasin Yilmaz

Comments Accepted to CVPR 2020: Workshop on Continual Learning in Computer Vision

gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors

Victor Fragoso, Joseph DeGol, Gang Hua

Journal ref IEEE/CVF CVPR 2020