21 citations · 45 across the 8 of their papers we have counts for
8 papers
Logic Diffusion for Knowledge Graph Reasoning
Xiaoying Xie, Biao Gong, Yiliang Lv +3
Most recent works focus on answering first order logical queries to explore the knowledge graph reasoning via multi-hop logic predictions. However, existing reasoning models are li…
Scanning Only Once: An End-to-end Framework for Fast Temporal Grounding in Long Videos
Yulin Pan, Xiangteng He, Biao Gong +4
Video temporal grounding aims to pinpoint a video segment that matches the query description. Despite the recent advance in short-form videos (\textit{e.g.}, in minutes), temporal…
Enhancing Unsupervised Audio Representation Learning via Adversarial Sample Generation
Yulin Pan, Xiangteng He, Biao Gong +2
Existing audio analysis methods generally first transform the audio stream to spectrogram, and then feed it into CNN for further analysis. A standard CNN recognizes specific visual…
ViM: Vision Middleware for Unified Downstream Transferring
Yutong Feng, Biao Gong, Jianwen Jiang +4
Foundation models are pre-trained on massive data and transferred to downstream tasks via fine-tuning. This work presents Vision Middleware (ViM), a new learning paradigm that targ…
Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning
Siteng Huang, Biao Gong, Yutong Feng +3
Recent compositional zero-shot learning (CZSL) methods adapt pre-trained vision-language models (VLMs) by constructing trainable prompts only for composed state-object pairs. Relyi…
UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training
Biao Gong, Shuai Tan, Yutong Feng +6
This work presents a unified knowledge protocol, called UKnow, which facilitates knowledge-based studies from the perspective of data. Particularly focusing on visual and linguisti…
VoP: Text-Video Co-operative Prompt Tuning for Cross-Modal Retrieval
Siteng Huang, Biao Gong, Yulin Pan +4
Many recent studies leverage the pre-trained CLIP for text-video cross-modal retrieval by tuning the backbone with additional heavy modules, which not only brings huge computationa…
Deep Multi-View Enhancement Hashing for Image Retrieval
Chenggang Yan, Biao Gong, Yuxuan Wei +1
Hashing is an efficient method for nearest neighbor search in large-scale data space by embedding high-dimensional feature descriptors into a similarity preserving Hamming space wi…