IEEE TPAMI

On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey

Matteo Poggi, Fabio Tosi, Konstantinos Batsos, Philippos Mordohai, Stefano Mattoccia

Comments Accepted to TPAMI. Paper version of our CVPR 2019 tutorial: "Learning-based depth estimation from stereo and monocular images: successes, limitations and future challenges" (https://sites.google.com/view/cvpr-2019-depth-from-image/home)

On the confidence of stereo matching in a deep-learning era: a quantitative evaluation

Matteo Poggi, Seungryong Kim, Fabio Tosi, Sunok Kim, Filippo Aleotti, Dongbo Min, Kwanghoon Sohn, Stefano Mattoccia

Comments TPAMI final version

Structure of Multiple Mirror System from Kaleidoscopic Projections of Single 3D Point

Kosuke Takahashi, Shohei Nobuhara

Comments Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Learning End-to-End Lossy Image Compression: A Benchmark

Yueyu Hu, Wenhan Yang, Zhan Ma, Jiaying Liu

Comments Accepted for publication in IEEE Transactions on Pattern Analysis and Machine Intelligence. Website available at https://huzi96.github.io/compression-bench.html

A Survey on Curriculum Learning

Xin Wang, Yudong Chen, Wenwu Zhu

Comments 20 pages, 7 figures, Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence 2021 (TPAMI)

Light Field Reconstruction Using Convolutional Network on EPI and Extended Applications

Gaochang Wu, Yebin Liu, Lu Fang, Qionghai Dai, Tianyou Chai

Comments Published in IEEE TPAMI, 2019

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019

Generalized Domain Conditioned Adaptation Network

Shuang Li, Binhui Xie, Qiuxia Lin, Chi Harold Liu, Gao Huang, Guoren Wang

Comments Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI). Journal version of arXiv:2005.06717 (AAAI 2020). Code is available at https://github.com/BIT-DA/GDCAN

Contrastive Reasoning in Neural Networks

Mohit Prabhushankar, Ghassan AlRegib

Comments Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence

Progressive and Aligned Pose Attention Transfer for Person Image Generation

Zhen Zhu, Tengteng Huang, Mengde Xu, Baoguang Shi, Wenqing Cheng, Xiang Bai

Comments Accepted by TPAMI. An extension of the conference version. Conference version at arXiv:1904.03349

Neural Architecture Transfer

Zhichao Lu, Gautam Sreekumar, Erik Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti

Comments Code is available at https://github.com/human-analysis/neural-architecture-transfer

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021

Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset

Zhenyu Wu, Haotao Wang, Zhaowen Wang, Hailin Jin, Zhangyang Wang

Comments Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). arXiv admin note: text overlap with arXiv:1807.08379

Self-Supervised Discovering of Interpretable Features for Reinforcement Learning

Wenjie Shi, Gao Huang, Shiji Song, Zhuoyuan Wang, Tingyu Lin, Cheng Wu

Comments Accepted as a Regular Paper in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Survey on the Analysis and Modeling of Visual Kinship: A Decade in the Making

Joseph P Robinson, Ming Shao, Yun Fu

Journal ref IEEE Transactions on pattern analysis and machine intelligence (2021)

Neural Granger Causality

Alex Tank, Ian Covert, Nicholas Foti, Ali Shojaie, Emily Fox

Comments IEEE TPAMI accepted version

Deep Model Intellectual Property Protection via Deep Watermarking

Jie Zhang, Dongdong Chen, Jing Liao, Weiming Zhang, Huamin Feng, Gang Hua, Nenghai Yu

Comments To appear at TPAMI 2021

Gating Revisited: Deep Multi-layer RNNs That Can Be Trained

Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler

Comments To appear in TPAMI (accepted March 2021)

Natural Language Video Localization: A Revisit in Span-based Question Answering Framework

Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh

Comments 15 pages, 18 figures, and 10 tables. Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). arXiv admin note: substantial text overlap with arXiv:2004.13931

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021

AlignSeg: Feature-Aligned Segmentation Networks

Zilong Huang, Yunchao Wei, Xinggang Wang, Wenyu Liu, Thomas S. Huang, Humphrey Shi

Comments Accepted by TPAMI 2021

Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation

Chongyi Li, Chunle Guo, Chen Change Loy

Comments This work is an extension of our earlier conference version arXiv:2001.06826 (Zero-DCE) that has appeared in CVRP2020. This paper was accepted by TPAMI

KANDINSKYPatterns -- An experimental exploration environment for Pattern Analysis and Machine Intelligence

Andreas Holzinger, Anna Saranti, Heimo Mueller

Comments 12 pages, submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), currently under review

Deep Polynomial Neural Networks

Grigorios Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou

Comments Published in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI). Code: https://github.com/grigorisg9gr/polynomial_nets. arXiv admin note: substantial text overlap with arXiv:2003.03828

Dual Encoding for Video Retrieval by Text

Jianfeng Dong, Xirong Li, Chaoxi Xu, Xun Yang, Gang Yang, Xun Wang, Meng Wang

Comments Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence. Code and data will be available at https://github.com/danieljf24/hybrid_space. Conference version: arXiv:1809.06181

Learning to Recognize Actions on Objects in Egocentric Video with Attention Dictionaries

Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz

Comments Accepted to TPAMI

GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set

Hanqing Chao, Kun Wang, Yiwei He, Junping Zhang, Jianfeng Feng

Comments Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Journal version of arXiv:1811.06186 (AAAI 2019). Code is available at https://github.com/AbnerHqC/GaitSet

Exploiting Raw Images for Real-Scene Super-Resolution

Xiangyu Xu, Yongrui Ma, Wenxiu Sun, Ming-Hsuan Yang

Comments A larger version with higher-resolution figures is available at: https://sites.google.com/view/xiangyuxu. arXiv admin note: text overlap with arXiv:1905.12156

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020

Forecasting Action through Contact Representations from First Person Video

Eadom Dessalene, Chinmaya Devaraj, Michael Maynord, Cornelia Fermuller, Yiannis Aloimonos

Comments 12 pages, 5 figures. in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021

Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics

Jiangliu Wang, Jianbo Jiao, Linchao Bao, Shengfeng He, Wei Liu, Yun-hui Liu

Comments Accepted by TPAMI. An extension of our previous work at arXiv:1904.03597

Res2Net: A New Multi-scale Backbone Architecture

Shang-Hua Gao, Ming-Ming Cheng, Kai Zhao, Xin-Yu Zhang, Ming-Hsuan Yang, Philip Torr

Comments 11 pages, 7 figures

Journal ref IEEE TPAMI 2021

Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer

Liang Lin, Yiming Gao, Ke Gong, Meng Wang, Xiaodan Liang

Comments To appear in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (T-PAMI) 2021. We propose a graph reasoning and transfer learning framework, which incorporates human knowledge and label taxonomy into the intermediate graph representation learning beyond local convolutions. arXiv admin note: substantial text overlap with arXiv:1904.04536

NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size

Xuanyi Dong, Lu Liu, Katarzyna Musial, Bogdan Gabrys

Comments Accepted to IEEE TPAMI 2021, an extended version of NAS-Bench-201 (ICLR 2020) [arXiv:2001.00326]