← Search

Teng Long

9 accepted papers

2026

Open-World Deepfake Attribution via Confidence-Aware Asymmetric Learning

AAAI 2026technical

The proliferation of synthetic facial imagery has intensified the need for robust Open-World DeepFake Attribution (OW-DFA), which aims to attribute both known and unknown forgeries using labeled data for known types and unlabeled data containing a mixture of known and novel types. However, existing

Cited by 0SourcePDFScholar
2026

The Devil Is in Gradient Entanglement: Energy-Aware Gradient Coordinator for Robust Generalized Category Discovery

CVPR 2026

Generalized Category Discovery (GCD) leverages labeled data to categorize unlabeled samples from known or unknown classes. Most previous methods jointly optimize supervised and unsupervised objectives and achieve promising results. However, inherent optimization interference still limits their abili

Cited by 0SourcecodeScholar
2025

Comparison of Distributed Task Allocation Algorithms Considering Non-Ideal Communication Factors for Multi-UAV Collaborative Visit Missions

RA-L 2025

This letter comprehensively investigates the performance of six state-of-art distributed task allocation algorithms (i.e., CBAA, CBBA, HIPC, PI, DHBA, and DGA) subject to non-ideal communication factors. The package loss, bit error, and time delay factors are considered in the distributed task alloc

Cited by 12SourceScholar
2023

Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation

ICCV 2023poster

Given a composite image, image harmonization aims to adjust the foreground illumination to be consistent with background. Previous methods have explored transforming foreground features to achieve competitive performance. In this work, we show that using global information to guide foreground featur…

Cited by 12PDFcodeScholar
2022

Inharmonious Region Localization by Magnifying Domain Discrepancy

AAAI 2022technical

Inharmonious region localization aims to localize the region in a synthetic image which is incompatible with surrounding background. The inharmony issue is mainly attributed to the color and illumination inconsistency produced by image editing techniques. In this work, we tend to transform the input…

2015

Accurate analysis method of background ionosphere effects on Geosynchronous SAR focusing

ICASSP 2015accepted

The background ionosphere time variance within the extremely long integration time of Geosynchronous Synthetic Aperture Radar (GEO SAR) needs to be considered for GEO SAR focusing. Meanwhile, because of the curved trajectory and the very complex geometry relationship between satellite motion and ear…

Cited by 0SourceScholar