17 citations · 105 across the 20 of their papers we have counts for
20 papers
Gaussian Mixture Modeling for Event-Aware Visual Allocation in Long Video Understanding
Yifan Lu, Ziqi Zhang, Chunfeng Yuan +3
Large Vision-Language Models (LVLMs) face significant challenges in long video understanding due to the excessive computational cost and information loss associated with uniform sa…
IPAD-CLIP: Teaching CLIP to Detect Image Local Perceptual Artifacts
Juan Wang, Xinyu Sun, Ke Zhang +4
Current image quality assessment methods are heavily biased towards global distortions (e.g., noise, blur), neglecting local perceptual artifacts such as ghosting, lens flare, and…
Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations
Yifan Lu, Ziqi Zhang, Chunfeng Yuan +5
Large Vision-Language Models (LVLMs) suffer from serious hallucination problems, where the model-generated responses are inconsistent with the visual inputs. Existing hallucination…
GMC-IQA: Exploiting Global-correlation and Mean-opinion Consistency for No-reference Image Quality Assessment
Zewen Chen, Juan Wang, Bing Li +7
Due to the subjective nature of image quality assessment (IQA), assessing which image has better quality among a sequence of images is more reliable than assigning an absolute mean…
Set Prediction Guided by Semantic Concepts for Diverse Video Captioning
Yifan Lu, Ziqi Zhang, Chunfeng Yuan +4
Diverse video captioning aims to generate a set of sentences to describe the given video in various aspects. Mainstream methods are trained with independent pairs of a video and a…
ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking
Yutong Kou, Jin Gao, Bing Li +4
Recently, the transformer has enabled the speed-oriented trackers to approach state-of-the-art (SOTA) performance with high-speed thanks to the smaller input size or the lighter fe…
Real-time Monocular Depth Estimation on Embedded Systems
Cheng Feng, Congxuan Zhang, Zhen Chen +2
Depth sensing is of paramount importance for unmanned aerial and autonomous vehicles. Nonetheless, contemporary monocular depth estimation methods employing complex deep neural net…
PIC 4th Challenge: Semantic-Assisted Multi-Feature Encoding and Multi-Head Decoding for Dense Video Captioning
Yifan Lu, Ziqi Zhang, Yuxin Chen +3
The task of Dense Video Captioning (DVC) aims to generate captions with timestamps for multiple events in one video. Semantic information plays an important role for both localizat…
DSPNet: Towards Slimmable Pretrained Networks based on Discriminative Self-supervised Learning
Shaoru Wang, Zeming Li, Jin Gao +2
Self-supervised learning (SSL) has achieved promising downstream performance. However, when facing various resource budgets in real-world applications, it costs a huge computation…
SiamMask: A Framework for Fast Online Object Tracking and Segmentation
Weiming Hu, Qiang Wang, Li Zhang +2
In this paper we introduce SiamMask, a framework to perform both visual object tracking and video object segmentation, in real-time, with the same simple method. We improve the off…
Cross-Architecture Knowledge Distillation
Yufan Liu, Jiajiong Cao, Bing Li +3
Transformer attracts much attention because of its ability to learn global relations and superior performance. In order to achieve higher performance, it is natural to distill comp…
Narrowing the Gap: Improved Detector Training with Noisy Location Annotations
Shaoru Wang, Jin Gao, Bing Li +1
Deep learning methods require massive of annotated data for optimizing parameters. For example, datasets attached with accurate bounding box annotations are essential for modern ob…
Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning
Li Yang, Yan Xu, Chunfeng Yuan +3
Visual grounding is a task to locate the target indicated by a natural language expression. Existing methods extend the generic object detection framework to this problem. They bas…
PolarFormer: Multi-camera 3D Object Detection with Polar Transformer
Yanqin Jiang, Li Zhang, Zhenwei Miao +4
3D object detection in autonomous driving aims to reason "what" and "where" the objects of interest present in a 3D world. Following the conventional wisdom of previous 2D object d…
A Closer Look at Self-Supervised Lightweight Vision Transformers
Shaoru Wang, Jin Gao, Zeming Li +2
Self-supervised learning on large-scale Vision Transformers (ViTs) as pre-training methods has achieved promising downstream performance. Yet, how much these pre-training paradigms…
CREATE: A Benchmark for Chinese Short Video Retrieval and Title Generation
Ziqi Zhang, Yuxin Chen, Zongyang Ma +5
Previous works of video captioning aim to objectively describe the video's actual content, which lacks subjective and attractive expression, limiting its practical application scen…
Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillation
Zongyang Ma, Guan Luo, Jin Gao +5
Open-vocabulary object detection aims to detect novel object categories beyond the training set. The advanced open-vocabulary two-stage detectors employ instance-level visual-to-vi…
Learning Target-aware Representation for Visual Tracking via Informative Interactions
Mingzhe Guo, Zhipeng Zhang, Heng Fan +4
We introduce a novel backbone architecture to improve target-perception ability of feature representation for tracking. Specifically, having observed that de facto frameworks perfo…
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking
Jin Gao, Yan Lu, Xiaojuan Qi +5
Tracking visual objects from a single initial exemplar in the testing phase has been broadly cast as a one-/few-shot problem, i.e., one-shot learning for initial adaptation and few…
Differentiable Convolution Search for Point Cloud Processing
Xing Nie, Yongcheng Liu, Shaohong Chen +6
Exploiting convolutional neural networks for point cloud processing is quite challenging, due to the inherent irregular distribution and discrete shape representation of point clou…