14 citations · 21 across the 9 of their papers we have counts for
9 papers
Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer
Guangyi Chen, Xiao Liu, Guangrun Wang +4
Video-language pre-trained models have shown remarkable success in guiding video question-answering (VideoQA) tasks. However, due to the length of video sequences, training large-s…
Finding the Most Transferable Tasks for Brain Image Segmentation
Yicong Li, Yang Tan, Jingyun Yang +2
Although many studies have successfully applied transfer learning to medical image segmentation, very few of them have investigated the selection strategy when multiple source task…
Dual Vision Transformer
Ting Yao, Yehao Li, Yingwei Pan +3
Prior works have proposed several strategies to reduce the computational cost of self-attention mechanism. Many of these works consider decomposing the self-attention procedure int…
Transferability-Guided Cross-Domain Cross-Task Transfer Learning
Yang Tan, Enming Zhang, Yang Li +2
We propose two novel transferability metrics F-OTCE (Fast Optimal Transport based Conditional Entropy) and JC-OTCE (Joint Correspondence OTCE) to evaluate how much the source model…
Boosting Video Representation Learning with Multi-Faceted Integration
Zhaofan Qiu, Ting Yao, Chong-Wah Ngo +3
Video content is multifaceted, consisting of objects, scenes, interactions or actions. The existing datasets mostly label only one of the facets for model training, resulting in th…
Exploiting Relationship for Complex-scene Image Generation
Tianyu Hua, Hongdong Zheng, Yalong Bai +3
The significant progress on Generative Adversarial Networks (GANs) has facilitated realistic single-object image generation based on language input. However, complex-scene generati…
Explainable Person Re-Identification with Attribute-guided Metric Distillation
Xiaodong Chen, Xinchen Liu, Wu Liu +3
Despite the great progress of person re-identification (ReID) with the adoption of Convolutional Neural Networks, current ReID models are opaque and only outputs a scalar distance…
TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recognition
Jinkai Zheng, Xinchen Liu, Chenggang Yan +4
Gait, i.e., the movement pattern of human limbs during locomotion, is a promising biometric for the identification of persons. Despite significant improvement in gait recognition w…
The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances
Hang Du, Hailin Shi, Dan Zeng +2
Face recognition is one of the most popular and long-standing topics in computer vision. With the recent development of deep learning techniques and large-scale datasets, deep face…