10 citations · 17 across the 7 of their papers we have counts for
10 papers · 1 filter
More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV
Kai Ye, Haidi Tang, Bowen Liu +3
Applications of unmanned aerial vehicle (UAV) in logistics, agricultural automation, urban management, and emergency response are highly dependent on oriented object detection (OOD…
Knowing Where to Focus: Attention-Guided Alignment for Text-based Person Search
Lei Tan, Weihao Li, Pingyang Dai +3
In the realm of Text-Based Person Search (TBPS), mainstream methods aim to explore more efficient interaction frameworks between text descriptions and visual data. However, recent…
RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-identification
Lei Tan, Yukang Zhang, Keke Han +4
This paper makes a step towards modeling the modality discrepancy in the cross-spectral re-identification task. Based on the Lambertain model, we observe that the non-linear modali…
Feature Denoising Diffusion Model for Blind Image Quality Assessment
Xudong Li, Jingyuan Zheng, Runze Hu +8
Blind Image Quality Assessment (BIQA) aims to evaluate image quality in line with human perception, without reference benchmarks. Currently, deep learning BIQA methods typically de…
Prompt Decoupling for Text-to-Image Person Re-identification
Weihao Li, Lei Tan, Pingyang Dai +1
Text-to-image person re-identification (TIReID) aims to retrieve the target person from an image gallery via a textual description query. Recently, pre-trained vision-language mode…
Spectral Aware Softmax for Visible-Infrared Person Re-Identification
Lei Tan, Pingyang Dai, Qixiang Ye +3
Visible-infrared person re-identification (VI-ReID) aims to match specific pedestrian images from different modalities. Although suffering an extra modality discrepancy, existing m…