IEEE TPAMI

Deep Learning for 3D Point Clouds: A Survey

Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, Mohammed Bennamoun

Comments Accepted by IEEE TPAMI. Project page: https://github.com/QingyongHu/SoTA-Point-Cloud

Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference

Hao Zhang, Bo Chen, Yulai Cong, Dandan Guo, Hongwei Liu, Mingyuan Zhou

Comments To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence. arXiv admin note: text overlap with arXiv:1803.01328

Infinite Feature Selection: A Graph-based Feature Filtering Approach

Giorgio Roffo, Simone Melzi, Umberto Castellani, Alessandro Vinciarelli, Marco Cristani

Comments TPAMI PREPRINT 2020

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

Deep Back-Projection Networks for Single Image Super-resolution

Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita

Comments To appear in TPAMI 2020. The code is available at https://github.com/alterzero/DBPN-Pytorch arXiv admin note: substantial text overlap with arXiv:1803.02735

Kernel k-Groups via Hartigan's Method

Guilherme França, Maria L. Rizzo, Joshua T. Vogelstein

Comments several improvements; connections with community detection and stochastic block model. Matches published version

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

A Simple and Fast Algorithm for L1-norm Kernel PCA

Cheolmin Kim, Diego Klabjan

Comments 14 pages, 7 figures

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence (2019)

Normalizing Flows: An Introduction and Review of Current Methods

Ivan Kobyzev, Simon J. D. Prince, Marcus A. Brubaker

Comments This paper appears in: IEEE Transactions on Pattern Analysis and Machine Intelligence On page(s): 1-16 Print ISSN: 0162-8828 Online ISSN: 0162-8828

Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3

Petr Hurtik, Vojtech Molek, Jan Hula, Marek Vajgl, Pavel Vlasanek, Tomas Nejezchleba

Comments 18 pages, 15 figures, submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (under review), Source code is available at https://gitlab.com/irafm-ai/poly-yolo

SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-view Stereopsis

Mengqi Ji, Jinzhi Zhang, Qionghai Dai, Lu Fang

Comments Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), May 2020

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

Direction-aware Spatial Context Features for Shadow Detection and Removal

Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Jing Qin, Pheng-Ann Heng

Comments Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). This is the journal version of arXiv:1712.04142, which was accepted for oral presentation in CVPR 2018

The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines

Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, Michael Wray

Comments Preprint for paper at IEEE TPAMI. arXiv admin note: substantial text overlap with arXiv:1804.02748

Optimizing regularized Cholesky score for order-based learning of Bayesian networks

Qiaoling Ye, Arash A. Amini, Qing Zhou

Comments 15 pages, 7 figures, 5 tables

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence (2020)

Maximum Density Divergence for Domain Adaptation

Li Jingjing, Chen Erpeng, Ding Zhengming, Zhu Lei, Lu Ke, Shen Heng Tao

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

Deep Slow Motion Video Reconstruction with Hybrid Imaging System

Avinash Paliwal, Nima Khademi Kalantari

Comments IEEE TPAMI and ICCP 2020. Project page containing code and video at http://faculty.cs.tamu.edu/nimak/Papers/ICCP2020_Slomo

Relationship-Embedded Representation Learning for Grounding Referring Expressions

Sibei Yang, Guanbin Li, Yizhou Yu

Comments This paper is going to appear in TPAMI. Code is available at https://github.com/sibeiyang/sgmn/tree/master/lib/cmrin_models

Self-supervised Multi-view Person Association and Its Applications

Minh Vo, Ersin Yumer, Kalyan Sunkavalli, Sunil Hadap, Yaser Sheikh, Srinivasa Narasimhan

Comments Accepted to IEEE TPAMI

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann

Comments 16 pages, Accepted by TPAMI. arXiv admin note: substantial text overlap with arXiv:1803.08071

Neural Image Compression for Gigapixel Histopathology Image Analysis

David Tellez, Geert Litjens, Jeroen van der Laak, Francesco Ciompi

Comments Accepted in the IEEE Transactions on Pattern Analysis and Machine Intelligence journal

Gliding vertex on the horizontal bounding box for multi-oriented object detection

Yongchao Xu, Mingtao Fu, Qimeng Wang, Yukang Wang, Kai Chen, Gui-Song Xia, Xiang Bai

Comments Accepted by TPAMI 2020. The experiments of pedestrian detection are updated as the benchmark has been changed

Physics-Based Generative Adversarial Models for Image Restoration and Beyond

Jinshan Pan, Jiangxin Dong, Yang Liu, Jiawei Zhang, Jimmy Ren, Jinhui Tang, Yu-Wing Tai, Ming-Hsuan Yang

Comments IEEE TPAMI

A Dual Camera System for High Spatiotemporal Resolution Video Acquisition

Ming Cheng, Zhan Ma, M. Salman Asif, Yiling Xu, Haojie Liu, Wenbo Bao, Jun Sun

Comments To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence

TE141K: Artistic Text Benchmark for Text Effect Transfer

Shuai Yang, Wenjing Wang, Jiaying Liu

Comments Accepted by TPAMI 2020. Project page: https://daooshee.github.io/TE141K/

Linguistically Driven Graph Capsule Network for Visual Question Reasoning

Qingxing Cao, Xiaodan Liang, Keze Wang, Liang Lin

Comments Submitted to TPAMI 2020. We have achieved an end-to-end interpretable structural reasoning for general images without the requirement of layout annotations

Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds

Huan Lei, Naveed Akhtar, Ajmal Mian

Comments Accepted to TPAMI

Recent Advances in Open Set Recognition: A Survey

Chuanxing Geng, Sheng-jun Huang, Songcan Chen

Comments Accepted by IEEE TPAMI

From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

Shaoshuai Shi, Zhe Wang, Jianping Shi, Xiaogang Wang, Hongsheng Li

Comments Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence 2020, code is available at https://github.com/sshaoshuai/PointCloudDet3D

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization

Tak-Wai Hui, Xiaoou Tang, Chen Change Loy

Comments Accepted to TPAMI 2020. arXiv admin note: substantial text overlap with arXiv:1805.07036

Deep High-Resolution Representation Learning for Visual Recognition

Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao

Comments To appear in TPAMI. State-of-the-art performance on human pose estimation, semantic segmentation, object detection, instance segmentation, and face alignment. Full version of arXiv:1904.04514. (arXiv admin note: text overlap with arXiv:1904.04514)

Imbalance Problems in Object Detection: A Review

Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas

Comments Accepted to IEEE TPAMI; currently in press

StructBoost: Boosting Methods for Predicting Structured Output Variables

Chunhua Shen, Guosheng Lin, Anton van den Hengel

Comments Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence (Volume: 36 , Issue: 10 , Oct. 1 2014). Fixed reference error