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20162023
most citedAttributed Social Network Embedding

466 citations · 2.6k across the 60 of their papers we have counts for

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Showing 2023Show all

8 papers · 1 filter

cs.CV2023★ 2 cited

Tuning Multi-mode Token-level Prompt Alignment across Modalities

Dongsheng Wang, Miaoge Li, Xinyang Liu +3

Advancements in prompt tuning of vision-language models have underscored their potential in enhancing open-world visual concept comprehension. However, prior works only primarily f…

cs.CV2023

Towards Debiasing Frame Length Bias in Text-Video Retrieval via Causal Intervention

Burak Satar, Hongyuan Zhu, Hanwang Zhang +1

Many studies focus on improving pretraining or developing new backbones in text-video retrieval. However, existing methods may suffer from the learning and inference bias issue, as…

cs.LG2023★ 8 cited

Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation

Zhongqi Yue, Hanwang Zhang, Qianru Sun

Domain Adaptation (DA) is always challenged by the spurious correlation between domain-invariant features (e.g., class identity) and domain-specific features (e.g., environment) th…

cs.CV2023★ 11 cited

Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions

Juncheng Li, Kaihang Pan, Zhiqi Ge +7

Recent advancements in Multimodal Large Language Models (MLLMs) have been utilizing Visual Prompt Generators (VPGs) to convert visual features into tokens that LLMs can recognize.…

cs.CV2023

An Overview of Challenges in Egocentric Text-Video Retrieval

Burak Satar, Hongyuan Zhu, Hanwang Zhang +1

Text-video retrieval contains various challenges, including biases coming from diverse sources. We highlight some of them supported by illustrations to open a discussion. Besides,…

cs.CV2023

Fast Diffusion Model

Zike Wu, Pan Zhou, Kenji Kawaguchi +1

Diffusion models (DMs) have been adopted across diverse fields with its remarkable abilities in capturing intricate data distributions. In this paper, we propose a Fast Diffusion M…

eess.SY2023★ 4 cited

Risk-Aware Objective-Based Forecasting in Inertia Management

Haipeng Zhang, Ran Li, Yan Chen +3

The objective-based forecasting considers the asymmetric and non-linear impacts of forecasting errors on decision objectives, thus improving the effectiveness of its downstream dec…

cs.CV2023★ 2 cited

Learning Trajectory-Word Alignments for Video-Language Tasks

Xu Yang, Zhangzikang Li, Haiyang Xu +7

In a video, an object usually appears as the trajectory, i.e., it spans over a few spatial but longer temporal patches, that contains abundant spatiotemporal contexts. However, mod…