Search Results for author: Tianxing Wu

Found 9 papers, 7 papers with code

Detecting and Grounding Multi-Modal Media Manipulation and Beyond

1 code implementation25 Sep 2023 Rui Shao, Tianxing Wu, Jianlong Wu, Liqiang Nie, Ziwei Liu

HAMMER performs 1) manipulation-aware contrastive learning between two uni-modal encoders as shallow manipulation reasoning, and 2) modality-aware cross-attention by multi-modal aggregator as deep manipulation reasoning.

AsdKB: A Chinese Knowledge Base for the Early Screening and Diagnosis of Autism Spectrum Disorder

no code implementations31 Jul 2023 Tianxing Wu, Xudong Cao, Yipeng Zhu, Feiyue Wu, Tianling Gong, Yuxiang Wang, Shenqi Jing

To easily obtain the knowledge about autism spectrum disorder and help its early screening and diagnosis, we create AsdKB, a Chinese knowledge base on autism spectrum disorder.

Question Answering

DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection

1 code implementation1 Jun 2023 Rui Shao, Tianxing Wu, Liqiang Nie, Ziwei Liu

Unlike existing deepfake detection methods merely focusing on low-level forgery patterns, the forgery detection process of our model can be regularized by generalizable high-level semantics from a pre-trained ViT and adapted by global and local low-level forgeries of deepfake data.

DeepFake Detection Face Swapping

Detecting and Grounding Multi-Modal Media Manipulation

1 code implementation CVPR 2023 Rui Shao, Tianxing Wu, Ziwei Liu

In this paper, we highlight a new research problem for multi-modal fake media, namely Detecting and Grounding Multi-Modal Media Manipulation (DGM^4).

Binary Classification Contrastive Learning +4

ReVersion: Diffusion-Based Relation Inversion from Images

2 code implementations23 Mar 2023 Ziqi Huang, Tianxing Wu, Yuming Jiang, Kelvin C. K. Chan, Ziwei Liu

Specifically, we propose a novel relation-steering contrastive learning scheme to impose two critical properties of the relation prompt: 1) The relation prompt should capture the interaction between objects, enforced by the preposition prior.

Contrastive Learning

Detecting and Recovering Sequential DeepFake Manipulation

1 code implementation5 Jul 2022 Rui Shao, Tianxing Wu, Ziwei Liu

Moreover, we build a comprehensive benchmark and set up rigorous evaluation protocols and metrics for this new research problem.

DeepFake Detection Face Swapping +2

Efficiently Embedding Dynamic Knowledge Graphs

no code implementations15 Oct 2019 Tianxing Wu, Arijit Khan, Melvin Yong, Guilin Qi, Meng Wang

Knowledge graph (KG) embedding encodes the entities and relations from a KG into low-dimensional vector spaces to support various applications such as KG completion, question answering, and recommender systems.

Knowledge Graph Embedding Knowledge Graphs +3

Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs

2 code implementations15 Oct 2019 Yu-Xiang Wang, Arijit Khan, Tianxing Wu, Jiahui Jin, Haijiang Yan

We face two challenges on graph query over a knowledge graph: (1) the structural gap between $G_Q$ and the predefined schema in $G$ causes mismatch with query graph, (2) users cannot view the answers until the graph query terminates, leading to a longer system response time (SRT).


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