Xiaolong Wang

TimeCycle. Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)

adversarial-frcnn. A-Fast-RCNN (CVPR 2017)

caffe-video_triplet. Unsupervised Learning using Videos (ICCV 2015)

ss-gan. Style and Structure GAN (ECCV 2016)

caffe-3dnormal. surface normal estimation (CVPR 2015)

CharadesDet. Charades Object Detection Dataset (ICCV 2017)

nips14_loc_seg_testonly. Object Segmentation (NIPS 2014)

fast-rcnn-distillation. Python

UVC-1. Joint-task Self-supervised Learning for Temporal Correspondence (NeurIPS 2019)

Frame_prediction_cGAN. Interpolate and extrapolate video frames using cGAN

py-faster-rcnn-grasp. Python

lisa-caffe-lstm. C++

fast-rcnn-hha. Python

caffe2. Caffe2 is a lightweight, modular, and scalable deep learning framework.

tf-faster-rcnn. Tensorflow Faster RCNN for Object Detection

gym. A toolkit for developing and comparing reinforcement learning algorithms.

fast-rcnn-normg. Python

caffe-3dnormal_joint_pose. C++

fastText. Library for fast text representation and classification.

coco. MS COCO API - http://mscoco.org/

video-nonlocal-net. Non-local Neural Networks for Video Classification

policy-adaptation-during-deployment. Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.

SomeNormals. MATLAB