82 citations · 181 across the 12 of their papers we have counts for
12 papers
Ground-to-Aerial Person Search: Benchmark Dataset and Approach
Shizhou Zhang, Qingchun Yang, De Cheng +4
In this work, we construct a large-scale dataset for Ground-to-Aerial Person Search, named G2APS, which contains 31,770 images of 260,559 annotated bounding boxes for 2,644 identit…
Learning Conditional Attributes for Compositional Zero-Shot Learning
Qingsheng Wang, Lingqiao Liu, Chenchen Jing +4
Compositional Zero-Shot Learning (CZSL) aims to train models to recognize novel compositional concepts based on learned concepts such as attribute-object combinations. One of the c…
Self-supervised Learning of Event-guided Video Frame Interpolation for Rolling Shutter Frames
Yunfan Lu, Guoqiang Liang, Yiran Shen +1
Most consumer cameras use rolling shutter (RS) exposure, which often leads to distortions such as skew and jelly effects. These videos are further limited by bandwidth and frame ra…
UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and Interpolation
Yunfan LU, Guoqiang Liang, Yusheng Wang +2
Video frames captured by rolling shutter (RS) cameras during fast camera movement frequently exhibit RS distortion and blur simultaneously. Naturally, recovering high-frame-rate gl…
Non-exemplar Class-incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features
Ke Song, Quan Xia, Guoqiang Liang +2
Non-exemplar class-incremental learning refers to classifying new and old classes without storing samples of old classes. Since only new class samples are available for optimizatio…
New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning
Guoqiang Liang, Zhaojie Chen, Zhaoqiang Chen +2
To imitate the ability of keeping learning of human, continual learning which can learn from a never-ending data stream has attracted more interests recently. In all settings, the…
MS-DETR: Multispectral Pedestrian Detection Transformer with Loosely Coupled Fusion and Modality-Balanced Optimization
Yinghui Xing, Shuo Yang, Song Wang +4
Multispectral pedestrian detection is an important task for many around-the-clock applications, since the visible and thermal modalities can provide complementary information espec…
Dual Modality Prompt Tuning for Vision-Language Pre-Trained Model
Yinghui Xing, Qirui Wu, De Cheng +4
With the emergence of large pre-trained vison-language model like CLIP, transferable representations can be adapted to a wide range of downstream tasks via prompt tuning. Prompt tu…
Text-based Person Search in Full Images via Semantic-Driven Proposal Generation
Shizhou Zhang, De Cheng, Wenlong Luo +6
Finding target persons in full scene images with a query of text description has important practical applications in intelligent video surveillance.However, different from the real…
Unsupervised Video Summarization with a Convolutional Attentive Adversarial Network
Guoqiang Liang, Yanbing Lv, Shucheng Li +2
With the explosive growth of video data, video summarization, which attempts to seek the minimum subset of frames while still conveying the main story, has become one of the hottes…
An Adversarial Human Pose Estimation Network Injected with Graph Structure
Lei Tian, Guoqiang Liang, Peng Wang +1
Because of the invisible human keypoints in images caused by illumination, occlusion and overlap, it is likely to produce unreasonable human pose prediction for most of the current…
Attend to the Difference: Cross-Modality Person Re-identification via Contrastive Correlation
Shizhou Zhang, Yifei Yang, Peng Wang +3
The problem of cross-modality person re-identification has been receiving increasing attention recently, due to its practical significance. Motivated by the fact that human usually…