activity
20182026
most citedAsymmetric GAN for Unpaired Image-to-image Translation

82 citations · 115 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

TryOnCrafter: Unleashing Camera Trajectories for Realistic Video Virtual Try-on via a Renderable 4D Try-on Proxy

Hao Sun, Hao Yan, Mengting Chen +7

While Video Virtual Try-on (VVT) has achieved remarkable progress in synthesizing realistic garment overlays on dynamic subjects, existing paradigms remains fundamentally constrain…

cs.LG2025

CTR-Driven Advertising Image Generation with Multimodal Large Language Models

Xingye Chen, Wei Feng, Zhenbang Du +16

In web data, advertising images are crucial for capturing user attention and improving advertising effectiveness. Most existing methods generate background for products primarily f…

cs.CV2022★ 1 cited

SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations

Tao Wang, Jun Hao Liew, Yu Li +2

Recent state-of-the-art one-stage instance segmentation model SOLO divides the input image into a grid and directly predicts per grid cell object masks with fully-convolutional net…

cs.CV2020★ 4 cited

The Devil is in Classification: A Simple Framework for Long-tail Object Detection and Instance Segmentation

Tao Wang, Yu Li, Bingyi Kang +5

Most existing object instance detection and segmentation models only work well on fairly balanced benchmarks where per-category training sample numbers are comparable, such as COCO…

cs.CV2020★ 8 cited

Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax

Yu Li, Tao Wang, Bingyi Kang +4

Solving long-tail large vocabulary object detection with deep learning based models is a challenging and demanding task, which is however under-explored.In this work, we provide th…

cs.CV2019★ 82 cited

Asymmetric GAN for Unpaired Image-to-image Translation

Yu Li, Sheng Tang, Rui Zhang +3

Unpaired image-to-image translation problem aims to model the mapping from one domain to another with unpaired training data. Current works like the well-acknowledged Cycle GAN pro…