Datasets, Codes, Videos


  • IEEE TPAMI'19 (submission) + ECCV'18, Privacy attributes in HMDB51 (PA-HMDB51) dataset [Website]
    • the first and currently largest benchmark for privacy-preserving video action recognition. Released in June 2019.
  • CVPR'19, Multi-Purpose Image Deraining (MPID) dataset [Website]
    • the first and currently largest benchmark for image deraining research. Released in March 2019.
  • IEEE TIP'19, REalistic Single Image DEhazing (RESIDE) dataset [Website]
    • the first and currently largest benchmark for image dehazing research. Released in December 2017.
  • ACM MM'15, Adobe Visual Font Recognition (VFR) dataset [Link]
    • the first large-scale, fine-grained benchmark of font text images, for the task of font recognition and retrieval. Released in May 2015.

Paper Codes

We embrace open-source! Our recent codes can be found at VITA Group GitHub Repository:

Some legacy code repos (that are elsewhere hosted):

  • IEEE TCSVT'19, Frank-Wolfe network for image restoration [GitHub]
  • ICML'19, Plug-and-play optimization with deep learning [GitHub]
  • Bioinformatics'19, DeepAffinity model for protein-compound affinity prediction [GitHub]
  • IEEE TMI'19, Convolutional sparse coding for compressed sensing CT [GitHub]
  • ICASSP'19, GAN-based data augmentation [GitHub]
  • KDD'18, Subspace deep network [GitHub]
  • IJCAI'18, Segmentation-aware denoising [GitHub]
  • ICCV'17, AOD-Net for dehazing [Official Caffe GitHub] [Keras] [Pytorch]
  • IEEE TIP'17, Greedy batch-based minimum-cost flow tracking [GitHub]
  • ACII'17, Low-resolution facial expression recognition [GitHub]
  • BMVC'17, Transformed anti-sparse hashing [GitHub]

Other Software

Video Records (Talks, etc.)

  • GaTech Machine Learning Center Seminar, "Learning to Optimize from Data: Faster, Better, and Guaranteed" [Video]
  • ICML'19, Extended oral presentation for paper "Plug-and-Play Methods Provably Converge with Properly Trained Denoisers" [Video]
  • CVPR'19, Spotlight talk for paper "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-high Resolution Images” [Video]
  • AAAI'19, Invited talk on computer vision in disaster environments at AI4ND workshop [Video]
  • NeurIPS'18, Spotlight talk for paper "Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds" [Video]
  • NeurIPS'18, Spotlight talk for paper "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" [Video]
  • Summer'18 (University of Sao Paulo, Brazil): Deep learning short course [Video]; and invited talk on dehazing [Video]
  • ICML'18, Deep k-means model compression (presentation recorded at Rice University 2018 Data Science Conference) [Video]
  • AAAI'18, Talk on image/video dehazing and the RESIDE benchmark [Video]
  • CVPR'17, Tutorial "Dealing with Reality: Low-Quality Visual Data Processing and Analytics" [Video]
  • DeepFont (ACM MM'15) talks: Adobe MAX conference 2015 demo, GTC'16 tutorial, among many others.