activity
20222026
most citedMulti-Behavior Recommendation with Cascading Graph Convolution Networks

108 citations · 151 across the 21 of their papers we have counts for

collaborators

22 papers

cs.CV2026

Explainable Deepfake Detection with Feature-robust Augmentation and Evidence-grounded Explanation Optimization

Zhu Xu, Jiaqi Tang, Pokai Chen +2

Explainable deepfake detection extends binary classification by requiring models to not only predict authenticity but also provide interpretable justifications. This expanded scope…

cs.CV2026

Identity-Preserving Text-to-Video Generation via Agentic Enhancement and Semantic Repair

Jiayi Gao, Changcheng Hua, Jiaqi Tang +2

Identity-preserving video generation aims to synthesize videos that follow natural-language instructions while maintaining the visual identity of a given subject. Recent commercial…

cs.CV2026

Unleashing Multimodal Large Language Models for Training-free HOI Detection in the Wild

Ting Lei, Jialin Liu, Zhu Xu +2

Human-object interaction detection (HOID) has traditionally been formulated as a supervised detection problem over predefined interaction categories. While such paradigms achieve s…

cs.CV2026

OmniVTG: A Large-Scale Dataset and Training Paradigm for Open-World Video Temporal Grounding

Minghang Zheng, Zihao Yin, Yi Yang +2

Video Temporal Grounding (VTG), the task of localizing video segments from text queries, struggles in open-world settings due to limited dataset scale and semantic diversity, causi…

cs.CV2025

Identity-Preserving Text-to-Video Generation via Training-Free Prompt, Image, and Guidance Enhancement

Jiayi Gao, Changcheng Hua, Qingchao Chen +2

Identity-preserving text-to-video (IPT2V) generation creates videos faithful to both a reference subject image and a text prompt. While fine-tuning large pretrained video diffusion…

cs.CV2025

Investigating Domain Gaps for Indoor 3D Object Detection

Zijing Zhao, Zhu Xu, Qingchao Chen +2

As a fundamental task for indoor scene understanding, 3D object detection has been extensively studied, and the accuracy on indoor point cloud data has been substantially improved.…

cs.CV2025

Interact-Custom: Customized Human Object Interaction Image Generation

Zhu Xu, Zhaowen Wang, Yuxin Peng +1

Compositional Customized Image Generation aims to customize multiple target concepts within generation content, which has gained attention for its wild application. Existing approa…

cs.CV2025

Advancing 3D Scene Understanding with MV-ScanQA Multi-View Reasoning Evaluation and TripAlign Pre-training Dataset

Wentao Mo, Qingchao Chen, Yuxin Peng +2

The advancement of 3D vision-language (3D VL) learning is hindered by several limitations in existing 3D VL datasets: they rarely necessitate reasoning beyond a close range of obje…

cs.CV2025

TRKT: Weakly Supervised Dynamic Scene Graph Generation with Temporal-enhanced Relation-aware Knowledge Transferring

Zhu Xu, Ting Lei, Zhimin Li +4

Dynamic Scene Graph Generation (DSGG) aims to create a scene graph for each video frame by detecting objects and predicting their relationships. Weakly Supervised DSGG (WS-DSGG) re…

cs.CV2025

Hierarchical Event Memory for Accurate and Low-latency Online Video Temporal Grounding

Minghang Zheng, Yuxin Peng, Benyuan Sun +2

In this paper, we tackle the task of online video temporal grounding (OnVTG), which requires the model to locate events related to a given text query within a video stream. Unlike…

cs.CV2025

Open-Vocabulary HOI Detection with Interaction-aware Prompt and Concept Calibration

Ting Lei, Shaofeng Yin, Qingchao Chen +2

Open Vocabulary Human-Object Interaction (HOI) detection aims to detect interactions between humans and objects while generalizing to novel interaction classes beyond the training…

cs.GR2025

Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing

Zhuoying Li, Zhu Xu, Yuxin Peng +1

Instruction-based image editing, which aims to modify the image faithfully according to the instruction while preserving irrelevant content unchanged, has made significant progress…

cs.CV2025

ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer

Jiayi Gao, Zijin Yin, Changcheng Hua +5

The development of Text-to-Video (T2V) generation has made motion transfer possible, enabling the control of video motion based on existing footage. However, current methods have t…

cs.CV2024★ 4 cited

ResVG: Enhancing Relation and Semantic Understanding in Multiple Instances for Visual Grounding

Minghang Zheng, Jiahua Zhang, Qingchao Chen +2

Visual grounding aims to localize the object referred to in an image based on a natural language query. Although progress has been made recently, accurately localizing target objec…

cs.CV2024

Training-free Video Temporal Grounding using Large-scale Pre-trained Models

Minghang Zheng, Xinhao Cai, Qingchao Chen +2

Video temporal grounding aims to identify video segments within untrimmed videos that are most relevant to a given natural language query. Existing video temporal localization mode…

cs.CV2024

Exploring Conditional Multi-Modal Prompts for Zero-shot HOI Detection

Ting Lei, Shaofeng Yin, Yuxin Peng +1

Zero-shot Human-Object Interaction (HOI) detection has emerged as a frontier topic due to its capability to detect HOIs beyond a predefined set of categories. This task entails not…

cs.CV2023

Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory

Ting Lei, Fabian Caba, Qingchao Chen +3

Human Object Interaction (HOI) detection aims to localize and infer the relationships between a human and an object. Arguably, training supervised models for this task from scratch…

cs.IR2023★ 8 cited

MB-HGCN: A Hierarchical Graph Convolutional Network for Multi-behavior Recommendation

Mingshi Yan, Zhiyong Cheng, Jing Sun +2

Collaborative filtering-based recommender systems that rely on a single type of behavior often encounter serious sparsity issues in real-world applications, leading to unsatisfacto…

cs.IR2023★ 108 cited

Multi-Behavior Recommendation with Cascading Graph Convolution Networks

Zhiyong Cheng, Sai Han, Fan Liu +3

Multi-behavior recommendation, which exploits auxiliary behaviors (e.g., click and cart) to help predict users' potential interactions on the target behavior (e.g., buy), is regard…

cs.CV2023★ 19 cited

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…

cs.CV2022★ 1 cited

Team PKU-WICT-MIPL PIC Makeup Temporal Video Grounding Challenge 2022 Technical Report

Minghang Zheng, Dejie Yang, Zhongjie Ye +3

In this technical report, we briefly introduce the solutions of our team `PKU-WICT-MIPL' for the PIC Makeup Temporal Video Grounding (MTVG) Challenge in ACM-MM 2022. Given an untri…

cs.IR2022★ 11 cited

Disentangled Graph Neural Networks for Session-based Recommendation

Ansong Li, Zhiyong Cheng, Fan Liu +3

Session-based recommendation (SBR) has drawn increasingly research attention in recent years, due to its great practical value by only exploiting the limited user behavior history…