32 citations · 141 across the 25 of their papers we have counts for
8 papers · 1 filter
DiP: Learning Discriminative Implicit Parts for Person Re-Identification
Dengjie Li, Siyu Chen, Yujie Zhong +1
In person re-identification (ReID) tasks, many works explore the learning of part features to improve the performance over global image features. Existing methods explicitly extrac…
AeDet: Azimuth-invariant Multi-view 3D Object Detection
Chengjian Feng, Zequn Jie, Yujie Zhong +2
Recent LSS-based multi-view 3D object detection has made tremendous progress, by processing the features in Brid-Eye-View (BEV) via the convolutional detector. However, the typical…
Contrastive Video-Language Learning with Fine-grained Frame Sampling
Zixu Wang, Yujie Zhong, Yishu Miao +2
Despite recent progress in video and language representation learning, the weak or sparse correspondence between the two modalities remains a bottleneck in the area. Most video-lan…
CounTR: Transformer-based Generalised Visual Counting
Chang Liu, Yujie Zhong, Andrew Zisserman +1
In this paper, we consider the problem of generalised visual object counting, with the goal of developing a computational model for counting the number of objects from arbitrary se…
ReAct: Temporal Action Detection with Relational Queries
Dingfeng Shi, Yujie Zhong, Qiong Cao +4
This work aims at advancing temporal action detection (TAD) using an encoder-decoder framework with action queries, similar to DETR, which has shown great success in object detecti…
Cross-Architecture Self-supervised Video Representation Learning
Sheng Guo, Zihua Xiong, Yujie Zhong +4
In this paper, we present a new cross-architecture contrastive learning (CACL) framework for self-supervised video representation learning. CACL consists of a 3D CNN and a video tr…
DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers
Xianing Chen, Qiong Cao, Yujie Zhong +3
Transformers are successfully applied to computer vision due to their powerful modeling capacity with self-attention. However, the excellent performance of transformers heavily dep…
PromptDet: Towards Open-vocabulary Detection using Uncurated Images
Chengjian Feng, Yujie Zhong, Zequn Jie +5
The goal of this work is to establish a scalable pipeline for expanding an object detector towards novel/unseen categories, using zero manual annotations. To achieve that, we make…