207 citations · 1.2k across the 34 of their papers we have counts for
8 papers · 1 filter
Progressive One-shot Human Parsing
Haoyu He, Jing Zhang, Bhavani Thuraisingham +1
Prior human parsing models are limited to parsing humans into classes pre-defined in the training data, which is not flexible to generalize to unseen classes, e.g., new clothing in…
Inter-layer Transition in Neural Architecture Search
Benteng Ma, Jing Zhang, Yong Xia +1
Differential Neural Architecture Search (NAS) methods represent the network architecture as a repetitive proxy directed acyclic graph (DAG) and optimize the network weights and arc…
SIR: Self-supervised Image Rectification via Seeing the Same Scene from Multiple Different Lenses
Jinlong Fan, Jing Zhang, Dacheng Tao
Deep learning has demonstrated its power in image rectification by leveraging the representation capacity of deep neural networks via supervised training based on a large-scale syn…
DUT: Learning Video Stabilization by Simply Watching Unstable Videos
Yufei Xu, Jing Zhang, Stephen J. Maybank +1
Previous deep learning-based video stabilizers require a large scale of paired unstable and stable videos for training, which are difficult to collect. Traditional trajectory-based…
Wide-angle Image Rectification: A Survey
Jinlong Fan, Jing Zhang, Stephen J. Maybank +1
Wide field-of-view (FOV) cameras, which capture a larger scene area than narrow FOV cameras, are used in many applications including 3D reconstruction, autonomous driving, and vide…
Bridging Composite and Real: Towards End-to-end Deep Image Matting
Jizhizi Li, Jing Zhang, Stephen J. Maybank +1
Extracting accurate foregrounds from natural images benefits many downstream applications such as film production and augmented reality. However, the furry characteristics and vari…
Condensing Two-stage Detection with Automatic Object Key Part Discovery
Zhe Chen, Jing Zhang, Dacheng Tao
Modern two-stage object detectors generally require excessively large models for their detection heads to achieve high accuracy. To address this problem, we propose that the model…
Towards High Performance Human Keypoint Detection
Jing Zhang, Zhe Chen, Dacheng Tao
Human keypoint detection from a single image is very challenging due to occlusion, blur, illumination and scale variance. In this paper, we address this problem from three aspects…