CVPR

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles

Christos Kyrkou, Theocharis Theocharides

Comments CVPR International Workshop on Computer Vision for UAVs (UAVision2019), 16 June 2019

Hierarchical Back Projection Network for Image Super-Resolution

Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu

Journal ref 2019 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Learning to Synthesize Motion Blur

Tim Brooks, Jonathan T. Barron

Comments http://timothybrooks.com/tech/motion-blur/ . IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

Exemplar Guided Face Image Super-Resolution without Facial Landmarks

Berk Dogan, Shuhang Gu, Radu Timofte

Comments Published in 2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops

The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks

Felix Assion, Peter Schlicht, Florens Greßner, Wiebke Günther, Fabian Hüger, Nico Schmidt, Umair Rasheed

Comments CVPR SAIAD - Workshop 2019

The Herbarium Challenge 2019 Dataset

Kiat Chuan Tan, Yulong Liu, Barbara Ambrose, Melissa Tulig, Serge Belongie

Comments Part of the 6th Fine-Grained Visual Categorization Workshop (FGVC6) at CVPR 2019. Dataset available at https://github.com/visipedia/herbarium_comp

Deep Reason: A Strong Baseline for Real-World Visual Reasoning

Chenfei Wu, Yanzhao Zhou, Gen Li, Nan Duan, Duyu Tang, Xiaojie Wang

Comments CVPR 2019 Visual Question Answering and Dialog Workshop

Unsupervised Part-Based Disentangling of Object Shape and Appearance

Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer

Comments CVPR 2019 Oral

Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion

Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman

Comments CVPR 2019, code snippets included

Inverse Cooking: Recipe Generation from Food Images

Amaia Salvador, Michal Drozdzal, Xavier Giro-i-Nieto, Adriana Romero

Comments CVPR 2019

Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics

Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Nir Shavit

Comments 11 figures

Journal ref The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp. 8425-8435

Do Better ImageNet Models Transfer Better?

Simon Kornblith, Jonathon Shlens, Quoc V. Le

Comments CVPR 2019 Oral

Learning Strict Identity Mappings in Deep Residual Networks

Xin Yu, Zhiding Yu, Srikumar Ramalingam

Comments Make title consistent with the CVPR version

Connecting Touch and Vision via Cross-Modal Prediction

Yunzhu Li, Jun-Yan Zhu, Russ Tedrake, Antonio Torralba

Comments Accepted to CVPR 2019. Project Page: http://visgel.csail.mit.edu/

Utilizing the Instability in Weakly Supervised Object Detection

Yan Gao, Boxiao Liu, Nan Guo, Xiaochun Ye, Fang Wan, Haihang You, Dongrui Fan

Comments Accepted by CVPR 2019 Workshop

Divide and Conquer the Embedding Space for Metric Learning

Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer

Comments Source code: https://github.com/CompVis/metric-learning-divide-and-conquer

Journal ref The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp. 471-480

Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping

Suhas Lohit, Qiao Wang, Pavan Turaga

Comments Published in CVPR 2019, Codes available at https://github.com/suhaslohit/TTN

A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression

Nicoló Savioli

Comments 4 pages, 2 figures, IEEE Conference on Computer Vision and Pattern Recognition, Workshop and Challenge on Learned Image Compression (CLIC) 2019

4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks

Christopher Choy, JunYoung Gwak, Silvio Savarese

Comments CVPR'19

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment

Paritosh Parmar, Brendan Tran Morris

Comments CVPR 2019. Dataset temporarily made available at https://github.com/ParitoshParmar/MTL-AQA

Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics

Vincent Casser, Soeren Pirk, Reza Mahjourian, Anelia Angelova

Comments CVPR Workshop on Visual Odometry & Computer Vision Applications Based on Location Clues (VOCVALC), 2019. This is an extension of arXiv:1811.06152: Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. Thirty-Third AAAI Conference on Artificial Intelligence (AAAI'19)

Slim DensePose: Thrifty Learning from Sparse Annotations and Motion Cues

Natalia Neverova, James Thewlis, Rıza Alp Güler, Iasonas Kokkinos, Andrea Vedaldi

Comments CVPR 2019

Learning Spatio-Temporal Representation with Local and Global Diffusion

Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Xinmei Tian, Tao Mei

Comments CVPR 2019

HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds

Xiuye Gu, Yijie Wang, Chongruo wu, Yong-Jae lee, Panqu Wang

Journal ref CVPR 2019

AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs

Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci

Comments CVPR 2019 (oral)

LAEO-Net: revisiting people Looking At Each Other in videos

Manuel J. Marin-Jimenez, Vicky Kalogeiton, Pablo Medina-Suarez, Andrew Zisserman

Comments CVPR 2019

All-Weather Deep Outdoor Lighting Estimation

Jinsong Zhang, Kalyan Sunkavalli, Yannick Hold-Geoffroy, Sunil Hadap, Jonathan Eisenmann, Jean-François Lalonde

Comments 8 pages, CVPR 19. Project page: http://lvsn.github.io/allweather

Shapes and Context: In-the-Wild Image Synthesis & Manipulation

Aayush Bansal, Yaser Sheikh, Deva Ramanan

Comments Project Page: http://www.cs.cmu.edu/~aayushb/OpenShapes/

Journal ref CVPR 2019

Object-aware Aggregation with Bidirectional Temporal Graph for Video Captioning

Junchao Zhang, Yuxin Peng

Comments 10 pages, accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

Large-scale Landmark Retrieval/Recognition under a Noisy and Diverse Dataset

Kohei Ozaki, Shuhei Yokoo

Comments Technical report for Second Landmark Recognition Workshop to be held at CVPR 2019 (Long Beach, CA), June 16th, 2019