activity
20192022
most citedPretraining is All You Need for Image-to-Image Translation

92 citations · 213 across the 13 of their papers we have counts for

collaborators

12 papers

eess.IV202121 cited

Microshift: An Efficient Image Compression Algorithm for Hardware

Bo Zhang, Pedro V. Sander, Chi-Ying Tsui +1

In this paper, we propose an image compression algorithm called Microshift. We employ an algorithm hardware co-design methodology, yielding a hardware-friendly compression approach…

cs.CV20211 cited

Let's See Clearly: Contaminant Artifact Removal for Moving Cameras

Xiaoyu Li, Bo Zhang, Jing Liao +1

Contaminants such as dust, dirt and moisture adhering to the camera lens can greatly affect the quality and clarity of the resulting image or video. In this paper, we propose a vid…

cs.CV2021

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion

Chulin Xie, Chuxin Wang, Bo Zhang +3

In this paper, we proposed a novel Style-based Point Generator with Adversarial Rendering (SpareNet) for point cloud completion. Firstly, we present the channel-attentive EdgeConv…

cs.CV202136 cited

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation

Pan Zhang, Bo Zhang, Ting Zhang +3

Self-training is a competitive approach in domain adaptive segmentation, which trains the network with the pseudo labels on the target domain. However inevitably, the pseudo labels…

cs.CV20205 cited

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

Xingran Zhou, Bo Zhang, Ting Zhang +5

We present the full-resolution correspondence learning for cross-domain images, which aids image translation. We adopt a hierarchical strategy that uses the correspondence from coa…

cs.CV202011 cited

Old Photo Restoration via Deep Latent Space Translation

Ziyu Wan, Bo Zhang, Dongdong Chen +4

We propose to restore old photos that suffer from severe degradation through a deep learning approach. Unlike conventional restoration tasks that can be solved through supervised l…