activity
20202026
most citedA Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation

12 citations · 26 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Image Generators are Generalist Vision Learners

Valentin Gabeur, Shangbang Long, Songyou Peng +22

Recent works show that image and video generators exhibit zero-shot visual understanding behaviors, in a way reminiscent of how LLMs develop emergent capabilities of language under…

cs.CV2023

ParGANDA: Making Synthetic Pedestrians A Reality For Object Detection

Daria Reshetova, Guanhang Wu, Marcel Puyat +2

Object detection is the key technique to a number of Computer Vision applications, but it often requires large amounts of annotated data to achieve decent results. Moreover, for pe…

cs.CV2023★ 10 cited

DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model

Xiuye Gu, Yin Cui, Jonathan Huang +8

Observing the close relationship among panoptic, semantic and instance segmentation tasks, we propose to train a universal multi-dataset multi-task segmentation model: DaTaSeg.We u…

cs.CV2021★ 12 cited

A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation

Wuyang Chen, Xianzhi Du, Fan Yang +8

This work presents a simple vision transformer design as a strong baseline for object localization and instance segmentation tasks. Transformers recently demonstrate competitive pe…

cs.CV2020★ 3 cited

Sky Optimization: Semantically aware image processing of skies in low-light photography

Orly Liba, Longqi Cai, Yun-Ta Tsai +5

The sky is a major component of the appearance of a photograph, and its color and tone can strongly influence the mood of a picture. In nighttime photography, the sky can also suff…