4 citations · 7 across the 12 of their papers we have counts for
13 papers
Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition
Shengkai Sun, Zhiyong Cheng, Zefan Zhang +3
Recently, masked skeleton reconstruction models have emerged as strong action representation learners, driving significant progress in self-supervised skeleton-based action recogni…
Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval Using Language
Xiang Fang, Wanlong Fang, Daizong Liu +8
Video Moment Retrieval (VMR) targets to retrieve the specific moment corresponding to a sentence query from an untrimmed video. Although recent works have made remarkable progress…
Memory-Augmented Query Intent Understanding for Efficient Chat-based Image Retrieval
Xianke Chen, Daizong Liu, Yushuo Lou +5
Different from traditional text-to-image retrieval tasks, chat-based image retrieval allows the human-interactive system to iteratively clarify and refine user intent through multi…
IVCR-200K: A Large-Scale Multi-turn Dialogue Benchmark for Interactive Video Corpus Retrieval
Ning Han, Yawen Zeng, Shaohua Long +5
In recent years, significant developments have been made in both video retrieval and video moment retrieval tasks, which respectively retrieve complete videos or moments for a give…
Dual Learning with Dynamic Knowledge Distillation and Soft Alignment for Partially Relevant Video Retrieval
Jianfeng Dong, Lei Huang, Daizong Liu +5
Almost all previous text-to-video retrieval works ideally assume that videos are pre-trimmed with short durations containing solely text-related content. However, in practice, vide…
Enhancing Partially Relevant Video Retrieval with Robust Alignment Learning
Long Zhang, Peipei Song, Jianfeng Dong +2
Partially Relevant Video Retrieval (PRVR) aims to retrieve untrimmed videos partially relevant to a given query. The core challenge lies in learning robust query-video alignment ag…
Dynamic Adapter with Semantics Disentangling for Cross-lingual Cross-modal Retrieval
Rui Cai, Zhiyu Dong, Jianfeng Dong +1
Existing cross-modal retrieval methods typically rely on large-scale vision-language pair data. This makes it challenging to efficiently develop a cross-modal retrieval model for u…
Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network
Xiang Fang, Wanlong Fang, Changshuo Wang +5
Given some video-query pairs with untrimmed videos and sentence queries, temporal sentence grounding (TSG) aims to locate query-relevant segments in these videos. Although previous…
Representation Alignment Contrastive Regularization for Multi-Object Tracking
Zhonglin Liu, Shujie Chen, Jianfeng Dong +2
Achieving high-performance in multi-object tracking algorithms heavily relies on modeling spatio-temporal relationships during the data association stage. Mainstream approaches enc…
CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer
Yabing Wang, Fan Wang, Jianfeng Dong +1
Cross-lingual cross-modal retrieval has garnered increasing attention recently, which aims to achieve the alignment between vision and target language (V-T) without using any annot…
Unified Multi-modal Unsupervised Representation Learning for Skeleton-based Action Understanding
Shengkai Sun, Daizong Liu, Jianfeng Dong +5
Unsupervised pre-training has shown great success in skeleton-based action understanding recently. Existing works typically train separate modality-specific models, then integrate…
Dual-view Curricular Optimal Transport for Cross-lingual Cross-modal Retrieval
Yabing Wang, Shuhui Wang, Hao Luo +5
Current research on cross-modal retrieval is mostly English-oriented, as the availability of a large number of English-oriented human-labeled vision-language corpora. In order to b…
PRVR: Partially Relevant Video Retrieval
Xianke Chen, Daizong Liu, Xun Yang +4
In current text-to-video retrieval (T2VR), videos to be retrieved have been properly trimmed so that a correspondence between the videos and ad-hoc textual queries naturally exists…