Huaizu Jiang

PhD Student
College of Information and Computer Sciences
University of Massachusetts, Amherst
Email: hzjiang AT

CVGoogle ScholarGitHub

About Me

I am a fifth-year PhD student at Computer Vision Lab of University of Massachusetts, Amherst, where I am fortunately advised by Prof. Erik Learned-Miller. I got my M.E. and B.E. degrees from Xi'an Jiaotong University in 2009 and 2012, respectively. I received Adobe Fellowship and NVIDIA Graduate Fellowship in 2019.

I did two internships at NVIDIA Research working with Dr. Deqing Sun, Dr. Varun Jampani, Prof. Ming-Hsuan Yang, and Dr. Jan Kautz in the summer of 2017 and 2018, respectively. In the summer of 2019, I did an internship at Facebook AI Research (FAIR) working with Dr. Xinlei Chen, Dr. Ishan Misra, and Dr. Marcus Rohrbach.

I have broad interests in computer vision, computational photography, natural language processing, machine learning, and artificial intelligence in general.


In Defense of Grid Features for Visual Question Answering
Huaizu Jiang, Ishan Misra, Marcus Rohrbach, Erik Learned-Miller, Xinlei Chen
in arXiv 2020.

Ph.D. Research Projects

SENSE: a Shared Encoder for Scene flow Estimation
Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik Learned-Miller, Jan Kautz
in ICCV 2019 (Oral).
[PDF][Supp Mat][Code]
Half&Half: New Tasks and Benchmarks for Studying Visual Common Sense
Asish Singh*, Hang Su*, SouYoung Jin, Huaizu Jiang, Chetan Manjesh, Geng Luo, Ziwei He, Li Hong, Erik Learned-Miller, Rosemary Cowell
in CVPR 2019, Workshop on Vision Meets Cognition.
Automatic Adaptation of Object Detectors to New Domains Using Self-training
Aruni Roy Chowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik Learned-Miller
in CVPR 2019.
[PDF][Supp Mat][Project][Code]
Self-Supervised Relative Depth Learning for Urban Scene Understanding
Huaizu Jiang, Gustav Larsson, Michael Maire, Greg Shakhnarovich, Erik Learned-Miller
in ECCV 2018.
[PDF][Supp Mat][Project] A short version appeared in CVPR 2017 SUN workshop.
Unsupervised Hard Example Mining from Videos for Improved Object Detection
SouYoung Jin*, Aruni Roy Chowdhury*, Huaizu Jiang, Ashish Singh, Aditya Prasad, Deep Chakraborty, Erik Learned-Miller
in ECCV 2018.
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik Learned-Miller, Jan Kautz
in CVPR 2018 (Spotlight).
[PDF][Video1][Video2][CVPR Spotlight Video][Project][UCF101 Results]
Reasoning about Fine-grained Attribute Phrases using Reference Games
Jong-Chyi Su*, Chenyun Wu*, Huaizu Jiang, Subhransu Maji
in ICCV 2017.
[PDF][Code and Data][Project]
Face Detection with the Faster R-CNN
Huaizu Jiang, Erik Learned-Miller
in FG (IEEE Conference on Automatic Face and Gesture Recognition) 2017.

Previous Research Projects

Salient Object Detection: A Benchmark
Ali Borji, Ming-Ming Cheng, Huaizu Jiang, Jia Li
in TIP 2015.

Salient Object Detection: A Discriminative Regional Feature Integration Approach
Huaizu Jiang, Jingdong Wang, Zejian Yuan, Yang Wu, Nanning Zheng, Shipeng Li
in CVPR, 2013 and IJCV 2017.
[CVPR version][IJCV version] [MATLAB Code] [C++ Code] [Groundtruth of MSRA-B] [Project]

Automatic Salient Object Segmentation Based on Context and Shape Prior
Huaizu Jiang, Jingdong Wang, Zejian Yuan, Tie Liu, Nanning Zheng, Shipeng Li
in BMVC 2011.
[PDF] [Code]

Last updated: August, 2018.