34 citations · 37 across the 7 of their papers we have counts for
8 papers
FSDC-DETR: A Frequency-Spatial Domain Collaborative DETR for Small Object Detection
Aiwen Liu, Chengguang Zhu, Gang Wang +5
Small object detection (SOD) remains a challenging task in real-world applications. Despite recent advances, existing detectors remain limited by rigid processing that entangle spa…
FedADB: Class Anchor-Driven Dual-Branch Federated Learning for Mitigating Forgetting
Zhenyan Liu, Hua Zhang, Haoran Gao +6
Multimodal data collected by heterogeneous devices are used for collaborative training, where federated learning (FL) serves as a key paradigm for effective distributed modeling wi…
Joint Beamforming and Compressed Sensing for Uplink Grant-Free Access
Guoqing Xia, Pei Xiao, Bohan Li +2
Compressed sensing (CS)-based techniques have been widely applied in the grant-free non-orthogonal multiple access (NOMA) to a single-antenna base station (BS). In this paper, we c…
Fractional Correspondence Framework in Detection Transformer
Masoumeh Zareapoor, Pourya Shamsolmoali, Huiyu Zhou +2
The Detection Transformer (DETR), by incorporating the Hungarian algorithm, has significantly simplified the matching process in object detection tasks. This algorithm facilitates…
Mumpy: Multilateral Temporal-view Pyramid Transformer for Video Inpainting Detection
Ying Zhang, Yuezun Li, Bo Peng +3
The task of video inpainting detection is to expose the pixel-level inpainted regions within a video sequence. Existing methods usually focus on leveraging spatial and temporal inc…
DomainForensics: Exposing Face Forgery across Domains via Bi-directional Adaptation
Qingxuan Lv, Yuezun Li, Junyu Dong +4
Recent DeepFake detection methods have shown excellent performance on public datasets but are significantly degraded on new forgeries. Solving this problem is important, as new for…