IEEE TPAMI

Richer Convolutional Features for Edge Detection

Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Kai Wang, Xiang Bai

Journal ref IEEE TPAMI, 41(8):1939-1946, 2019

Photometric Depth Super-Resolution

Bjoern Haefner, Songyou Peng, Alok Verma, Yvain Quéau, Daniel Cremers

Comments IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019. First three authors contribute equally

Toward Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data

Thomas Köhler, Michel Bätz, Farzad Naderi, André Kaup, Andreas Maier, Christian Riess

Comments To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence; data and source code available at https://superresolution.tf.fau.de/

Numerical Inversion of SRNF Maps for Elastic Shape Analysis of Genus-Zero Surfaces

Hamid Laga, Qian Xie, Ian H. Jermyn, Anuj Srivastava

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017

Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts

Zhile Ren, Erik B. Sudderth

Comments Accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)

NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

Jun Liu, Amir Shahroudy, Mauricio Perez, Gang Wang, Ling-Yu Duan, Alex C. Kot

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

Context-Aware Visual Policy Network for Fine-Grained Image Captioning

Zheng-Jun Zha, Daqing Liu, Hanwang Zhang, Yongdong Zhang, Feng Wu

Comments Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI). Extended version of "Context-Aware Visual Policy Network for Sequence-Level Image Captioning", ACM MM 2018 (arXiv:1808.05864)

Two-Stream Region Convolutional 3D Network for Temporal Activity Detection

Huijuan Xu, Abir Das, Kate Saenko

Comments Published in TPAMI. arXiv admin note: substantial text overlap with arXiv:1703.07814, 1710.08011

Learning to Compose and Reason with Language Tree Structures for Visual Grounding

Richang Hong, Daqing Liu, Xiaoyu Mo, Xiangnan He, Hanwang Zhang

Comments Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)

Reconstruct and Represent Video Contents for Captioning via Reinforcement Learning

Wei Zhang, Bairui Wang, Lin Ma, Wei Liu

Comments Accepted by TPAMI. arXiv admin note: substantial text overlap with arXiv:1803.11438

A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation

Hilde Kuehne, Alexander Richard, Juergen Gall

Comments 15 pages, preprint for IEEE TPAMI https://ieeexplore.ieee.org/document/8585084 (open access). arXiv admin note: substantial text overlap with arXiv:1703.08132

Truncated Cauchy Non-negative Matrix Factorization

Naiyang Guan, Tongliang Liu, Yangmuzi Zhang, Dacheng Tao, Larry S. Davis

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE T-PAMI), vol. 41, no. 1, pp. 246-259, Jan. 2019

Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes

Mandar Dixit, Yunsheng Li, Nuno Vasconcelos

Comments 16 pages, 11 figures, accepted by TPAMI

Squeeze-and-Excitation Networks

Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu

Comments journal version of the CVPR 2018 paper, accepted by TPAMI

Feature Boosting Network For 3D Pose Estimation

Jun Liu, Henghui Ding, Amir Shahroudy, Ling-Yu Duan, Xudong Jiang, Gang Wang, Alex C. Kot

Comments Accepted to T-PAMI. DOI: 10.1109/TPAMI.2019.2894422

Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning

Yukai Shi, Guanbin Li, Qingxing Cao, Keze Wang, Liang Lin

Comments To be published in TPAMI

On perfect clustering of high dimension, low sample size data

Soham Sarkar, Anil K. Ghosh

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

Deep Imbalanced Learning for Face Recognition and Attribute Prediction

Chen Huang, Yining Li, Chen Change Loy, Xiaoou Tang

Comments 14 pages, 10 figures, 8 tables. Accepted to TPAMI

Discriminative Optimization: Theory and Applications to Computer Vision Problems

Jayakorn Vongkulbhisal, Fernando De la Torre, João P. Costeira

Comments 26 pages, 28 figures

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence ( Volume: 41, Issue: 4, Apr 2019 )

Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain

Yong Luo, Yonggang Wen, Tongliang Liu, Dacheng Tao

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence (Volume: 41, Issue: 4, April 1 2019)

Object Detection in Videos by High Quality Object Linking

Peng Tang, Chunyu Wang, Xinggang Wang, Wenyu Liu, Wenjun Zeng, Jingdong Wang

Comments accepted by TPAMI

Skeleton-Based Online Action Prediction Using Scale Selection Network

Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot

Comments This paper has been accepted by T-PAMI. DOI: 10.1109/TPAMI.2019.2898954

Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception

Federico Paredes-Vallés, Kirk Y. W. Scheper, Guido C. H. E. de Croon

Comments 14 pages, 14 figures

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

Visual Semantic Information Pursuit: A Survey

Daqi Liu, Miroslaw Bober, Josef Kittler

Comments Preliminary work. Under review by IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). Do not distribute

Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm

Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan

Comments arXiv admin note: text overlap with arXiv:1708.04181

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018

Defining Image Memorability using the Visual Memory Schema

Erdem Akagunduz, Adrian G. Bors, Karla K. Evans

Comments Submitted to TPAMI on Aug 4, 2017

Unsupervised Tracklet Person Re-Identification

Minxian Li, Xiatian Zhu, Shaogang Gong

Comments Accepted to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence. The new dataset is publicly available at https://github.com/liminxian/DukeMTMC-SI-Tracklet

Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank

Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov

Comments Accepted at TPAMI. (Keywords: Learning from rankings, image quality assessment, crowd counting, active learning). arXiv admin note: text overlap with arXiv:1803.03095

Min-Entropy Latent Model for Weakly Supervised Object Detection

Fang Wan, Pengxu Wei, Zhenjun Han, Jianbin Jiao, Qixiang Ye

Comments Accepted by TPAMI

Fast Randomized Singular Value Thresholding for Low-rank Optimization

Tae-Hyun Oh, Yasuyuki Matsushita, Yu-Wing Tai, In So Kweon

Comments Appeared in CVPR 2015, and under major revision of TPAMI. Source code is available on http://thoh.kaist.ac.kr