activity
20192023
most citedImage Inpainting by End-to-End Cascaded Refinement with Mask Awareness

140 citations · 345 across the 25 of their papers we have counts for

collaborators

26 papers

cs.CV2023★ 14 cited

VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video Generation

Xin Li, Wenqing Chu, Ye Wu +7

In this paper, we present VideoGen, a text-to-video generation approach, which can generate a high-definition video with high frame fidelity and strong temporal consistency using r…

cs.CV2023★ 2 cited

The Algonauts Project 2023 Challenge: UARK-UAlbany Team Solution

Xuan-Bac Nguyen, Xudong Liu, Xin Li +1

This work presents our solutions to the Algonauts Project 2023 Challenge. The primary objective of the challenge revolves around employing computational models to anticipate brain…

cs.CV2023

Dual-view Correlation Hybrid Attention Network for Robust Holistic Mammogram Classification

Zhiwei Wang, Junlin Xian, Kangyi Liu +3

Mammogram image is important for breast cancer screening, and typically obtained in a dual-view form, i.e., cranio-caudal (CC) and mediolateral oblique (MLO), to provide complement…

cs.CV2023

MEDIC: A Multimodal Empathy Dataset in Counseling

Zhou'an_Zhu, Xin Li, Jicai Pan +4

Although empathic interaction between counselor and client is fundamental to success in the psychotherapeutic process, there are currently few datasets to aid a computational appro…

cs.CV2023

SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity Recognition

Naga VS Raviteja Chappa, Pha Nguyen, Alexander H Nelson +4

This paper introduces a novel approach to Social Group Activity Recognition (SoGAR) using Self-supervised Transformers network that can effectively utilize unlabeled video data. To…

cs.CV2023★ 1 cited

CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation

Thanh-Dat Truong, Chi Nhan Duong, Pierce Helton +3

The research in self-supervised domain adaptation in semantic segmentation has recently received considerable attention. Although GAN-based methods have become one of the most popu…