activity
20162023
most citedData-Free Adversarial Distillation

103 citations · 244 across the 12 of their papers we have counts for

collaborators

11 papers

cs.CV2023★ 1 cited

Identity-Consistent Aggregation for Video Object Detection

Chaorui Deng, Da Chen, Qi Wu

In Video Object Detection (VID), a common practice is to leverage the rich temporal contexts from the video to enhance the object representations in each frame. Existing methods tr…

cs.CV2023

COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts

Xiaofeng Mao, Yuefeng Chen, Yao Zhu +4

Practical object detection application can lose its effectiveness on image inputs with natural distribution shifts. This problem leads the research community to pay more attention…

cs.CV2023★ 6 cited

ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional Latent Diffusion Models

Dar-Yen Chen

Arbitrary Style Transfer (AST) aims to transform images by adopting the style from any selected artwork. Nonetheless, the need to accommodate diverse and subjective user preference…

cs.CV2023

Conditional Human Sketch Synthesis with Explicit Abstraction Control

Dar-Yen Chen

This paper presents a novel free-hand sketch synthesis approach addressing explicit abstraction control in class-conditional and photo-to-sketch synthesis. Abstraction is a vital a…

cs.LG2022★ 2 cited

Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments

Rui Song, Dai Liu, Dave Zhenyu Chen +4

In federated learning, all networked clients contribute to the model training cooperatively. However, with model sizes increasing, even sharing the trained partial models often lea…

cs.LG2019★ 103 cited

Data-Free Adversarial Distillation

Gongfan Fang, Jie Song, Chengchao Shen +3

Knowledge Distillation (KD) has made remarkable progress in the last few years and become a popular paradigm for model compression and knowledge transfer. However, almost all exist…