activity
20222024
most citedIDRNet: Intervention-Driven Relation Network for Semantic Segmentation

14 citations · 19 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20241 cited

Mixture-of-Noises Enhanced Forgery-Aware Predictor for Multi-Face Manipulation Detection and Localization

Changtao Miao, Qi Chu, Tao Gong +6

With the advancement of face manipulation technology, forgery images in multi-face scenarios are gradually becoming a more complex and realistic challenge. Despite this, detection…

cs.CV202314 cited

IDRNet: Intervention-Driven Relation Network for Semantic Segmentation

Zhenchao Jin, Xiaowei Hu, Lingting Zhu +3

Co-occurrent visual patterns suggest that pixel relation modeling facilitates dense prediction tasks, which inspires the development of numerous context modeling paradigms, \emph{e…

cs.GR2023

Emotional Listener Portrait: Neural Listener Head Generation with Emotion

Luchuan Song, Guojun Yin, Zhenchao Jin +2

Listener head generation centers on generating non-verbal behaviors (e.g., smile) of a listener in reference to the information delivered by a speaker. A significant challenge when…

eess.IV20232 cited

Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis

Lingting Zhu, Zeyue Xue, Zhenchao Jin +4

Cross-modality medical image synthesis is a critical topic and has the potential to facilitate numerous applications in the medical imaging field. Despite recent successes in deep-…

cs.CV2023

SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch

Zhenchao Jin

This paper presents SSSegmenation, which is an open source supervised semantic image segmentation toolbox based on PyTorch. The design of this toolbox is motivated by MMSegmentatio…

cs.CV20222 cited

You Should Look at All Objects

Zhenchao Jin, Dongdong Yu, Luchuan Song +2

Feature pyramid network (FPN) is one of the key components for object detectors. However, there is a long-standing puzzle for researchers that the detection performance of large-sc…