9 papers
SupScene: Scene-Structured Overlap Supervision for Image Retrieval in Unconstrained SfM
Xulei Shi, Maoyu Wang, Yuning Peng +5
Image retrieval is a critical step for reducing the quadratic cost of image matching in unconstrained Structure-from-Motion (SfM). Unlike generic image retrieval, however, the rele…
TokenCLIP: Token-wise Prompt Learning for Zero-shot Anomaly Detection
Qihang Zhou, Binbin Gao, Guansong Pang +3
Adapting CLIP for anomaly detection on unseen objects has shown strong potential in a zero-shot manner. However, existing methods typically rely on a single textual space to align…
Attention-Driven Multimodal Alignment for Long-term Action Quality Assessment
Xin Wang, Peng-Jie Li, Yuan-Yuan Shen
Long-term action quality assessment (AQA) focuses on evaluating the quality of human activities in videos lasting up to several minutes. This task plays an important role in the au…
Optimization-Inspired Few-Shot Adaptation for Large Language Models
Boyan Gao, Xin Wang, Yibo Yang +1
Large Language Models (LLMs) have demonstrated remarkable performance in real-world applications. However, adapting LLMs to novel tasks via fine-tuning often requires substantial t…
A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models
Liqiang Jing, Guiming Hardy Chen, Ehsan Aghazadeh +2
Large Vision-Language Models (LVLMs) demonstrate remarkable capabilities in multimodal tasks, but visual object hallucination remains a persistent issue. It refers to scenarios whe…
PM-VIS+: High-Performance Video Instance Segmentation without Video Annotation
Zhangjing Yang, Dun Liu, Xin Wang +3
Video instance segmentation requires detecting, segmenting, and tracking objects in videos, typically relying on costly video annotations. This paper introduces a method that elimi…
VIA: Unified Spatiotemporal Video Adaptation Framework for Global and Local Video Editing
Jing Gu, Yuwei Fang, Ivan Skorokhodov +4
Video editing serves as a fundamental pillar of digital media, spanning applications in entertainment, education, and professional communication. However, previous methods often ov…
When Do We Not Need Larger Vision Models?
Baifeng Shi, Ziyang Wu, Maolin Mao +2
Scaling up the size of vision models has been the de facto standard to obtain more powerful visual representations. In this work, we discuss the point beyond which larger vision mo…
WiCV@CVPR2023: The Eleventh Women In Computer Vision Workshop at the Annual CVPR Conference
Doris Antensteiner, Marah Halawa, Asra Aslam +6
In this paper, we present the details of Women in Computer Vision Workshop - WiCV 2023, organized alongside the hybrid CVPR 2023 in Vancouver, Canada. WiCV aims to amplify the voic…