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Tianxiang Zhang

7 accepted papers

2026

Fine-Grained DINO Tuning with Dual Supervision for Face Forgery Detection

AAAI 2026technical

The proliferation of sophisticated deepfakes poses significant threats to information integrity. While DINOv2 shows promise for detection, existing fine-tuning approaches treat it as generic binary classification, overlooking distinct artifacts inherent to different deepfake methods. To address this

Cited by 0SourcePDFScholar
2026

QA-ReID: Quality-Aware Query-Adaptive Convolution Leveraging Fused Global and Structural Cues for Clothes-Changing ReID

ICASSP 2026poster

Unlike conventional person re-identification (ReID), clothes-changing ReID (CC-ReID) presents severe challenges due to substantial appearance variations introduced by clothing changes. In this work, we propose the Quality-Aware Dual-Branch Matching (QA-ReID), which jointly leverages RGB-based featur…

Cited by 0SourcePDFScholar
2026

TopoMA: Topology-Guided Multi-Agent Dense RGB 3D Reconstruction via Distributed Inference

CVPR 2026

Multi-agent 3D reconstruction, as a key technology for large-scale VR/AR, robot swarms, and digital twins, has attracted growing attention. Recent end-to-end 3D reconstruction methods achieve strong performance in single-agent scenarios, but they are difficult to directly extend to multi-agent colla

Cited by 0SourceScholar
2025

Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation

EMNLP 2025

Despite impressive progress in areas like mathematical reasoning, large language models still face challenges in consistently solving complex problems. Drawing inspiration from key human learning strategies, we propose two novel strategies to enhance the capability of large language models to solve

2024

AS-LIO: Spatial Overlap Guided Adaptive Sliding Window LiDAR-Inertial Odometry for Aggressive FOV Variation

IROS 2024poster

LiDAR-Inertial Odometry (LIO) demonstrates outstanding accuracy and stability in general low-speed and smooth motion scenarios. However, in high-speed and intense motion scenarios, such as sharp turns, two primary challenges arise: firstly, due to the limitations of IMU frequency, the error in estim…

Cited by 3SourceScholar
2024

Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement

AAAI 2024technical

The Few-Shot Segmentation (FSS) aims to accomplish the novel class segmentation task with a few annotated images. Current FSS research based on meta-learning focuses on designing a complex interaction mechanism between the query and support feature. However, unlike humans who can rapidly learn new t…

2017

Multi-contact frictional rigid dynamics using impulse decomposition

IROS 2017poster

We present an interactive and stable multi-contact dynamic simulation algorithm for rigid bodies. Our approach is based on fast frictional dynamics (FFD) [14], which is designed for large sets of non-convex rigid bodies. We use a new friction model that performs velocity-level multi-contact simulati…

Cited by 0SourceScholar