2 citations · 5 across the 9 of their papers we have counts for
9 papers
Revisiting a Pain in the Neck: A Semantic Reasoning Benchmark for Language Models
Yang Liu, Hongming Li, Melissa Xiaohui Qin +2
We present SemanticQA, an evaluation suite designed to assess language models (LMs) in semantic phrase processing tasks. The benchmark consolidates existing multiword expression (M…
Reference-based Category Discovery: Unsupervised Object Detection with Category Awareness
Yichen Li, Qiankun Liu, Ying Fu
Traditional one-shot detection methods have addressed the closed-set problem in object detection, but the high cost of data annotation remains a critical challenge. General unsuper…
MAFE R-CNN: Selecting More Samples to Learn Category-aware Features for Small Object Detection
Yichen Li, Qiankun Liu, Zhenchao Jin +3
Small object detection in intricate environments has consistently represented a major challenge in the field of object detection. In this paper, we identify that this difficulty st…
Multi-Object Tracking in the Dark
Xinzhe Wang, Kang Ma, Qiankun Liu +2
Low-light scenes are prevalent in real-world applications (e.g. autonomous driving and surveillance at night). Recently, multi-object tracking in various practical use cases have r…
Transformer based Pluralistic Image Completion with Reduced Information Loss
Qiankun Liu, Yuqi Jiang, Zhentao Tan +5
Transformer based methods have achieved great success in image inpainting recently. However, we find that these solutions regard each pixel as a token, thus suffering from an infor…
Infrared Small Target Detection with Scale and Location Sensitivity
Qiankun Liu, Rui Liu, Bolun Zheng +2
Recently, infrared small target detection (IRSTD) has been dominated by deep-learning-based methods. However, these methods mainly focus on the design of complex model structures t…
Towards More Unified In-context Visual Understanding
Dianmo Sheng, Dongdong Chen, Zhentao Tan +7
The rapid advancement of large language models (LLMs) has accelerated the emergence of in-context learning (ICL) as a cutting-edge approach in the natural language processing domai…
Siamese-DETR for Generic Multi-Object Tracking
Qiankun Liu, Yichen Li, Yuqi Jiang +1
The ability to detect and track the dynamic objects in different scenes is fundamental to real-world applications, e.g., autonomous driving and robot navigation. However, tradition…
HQ-50K: A Large-scale, High-quality Dataset for Image Restoration
Qinhong Yang, Dongdong Chen, Zhentao Tan +6
This paper introduces a new large-scale image restoration dataset, called HQ-50K, which contains 50,000 high-quality images with rich texture details and semantic diversity. We ana…