activity
20172022
most citedSEED: Self-supervised Distillation For Visual Representation

74 citations · 230 across the 25 of their papers we have counts for

collaborators

35 papers

cs.CV202212 cited

Exploring Discrete Diffusion Models for Image Captioning

Zixin Zhu, Yixuan Wei, Jianfeng Wang +7

The image captioning task is typically realized by an auto-regressive method that decodes the text tokens one by one. We present a diffusion-based captioning model, dubbed the name…

cs.LG20221 cited

Federated Learning for Inference at Anytime and Anywhere

Zicheng Liu, Da Li, Javier Fernandez-Marques +6

Federated learning has been predominantly concerned with collaborative training of deep networks from scratch, and especially the many challenges that arise, such as communication…

cs.CV202230 cited

GRiT: A Generative Region-to-text Transformer for Object Understanding

Jialian Wu, Jianfeng Wang, Zhengyuan Yang +4

This paper presents a Generative RegIon-to-Text transformer, GRiT, for object understanding. The spirit of GRiT is to formulate object understanding as <region, text> pairs, where…

cs.CV2022

ReCo: Region-Controlled Text-to-Image Generation

Zhengyuan Yang, Jianfeng Wang, Zhe Gan +8

Recently, large-scale text-to-image (T2I) models have shown impressive performance in generating high-fidelity images, but with limited controllability, e.g., precisely specifying…

cs.CV2022

Self-Supervised Learning based on Heat Equation

Yinpeng Chen, Xiyang Dai, Dongdong Chen +4

This paper presents a new perspective of self-supervised learning based on extending heat equation into high dimensional feature space. In particular, we remove time dependence by…

cs.CV202213 cited

Vision-Language Pre-training: Basics, Recent Advances, and Future Trends

Zhe Gan, Linjie Li, Chunyuan Li +3

This paper surveys vision-language pre-training (VLP) methods for multimodal intelligence that have been developed in the last few years. We group these approaches into three categ…