activity
20162023
most citedBEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers

115 citations · 119 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV20231 cited

Album Storytelling with Iterative Story-aware Captioning and Large Language Models

Munan Ning, Yujia Xie, Dongdong Chen +5

This work studies how to transform an album to vivid and coherent stories, a task we refer to as "album storytelling". While this task can help preserve memories and facilitate exp…

cs.CV2022115 cited

BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers

Zhiliang Peng, Li Dong, Hangbo Bao +2

Masked image modeling (MIM) has demonstrated impressive results in self-supervised representation learning by recovering corrupted image patches. However, most existing studies ope…

cs.CV2022

Point-to-Box Network for Accurate Object Detection via Single Point Supervision

Pengfei Chen, Xuehui Yu, Xumeng Han +7

Object detection using single point supervision has received increasing attention over the years. However, the performance gap between point supervised object detection (PSOD) and…

cs.CV20222 cited

CrossRectify: Leveraging Disagreement for Semi-supervised Object Detection

Chengcheng Ma, Xingjia Pan, Qixiang Ye +3

Semi-supervised object detection has recently achieved substantial progress. As a mainstream solution, the self-labeling-based methods train the detector on both labeled data and u…

cs.LG2021

Exploring Complicated Search Spaces with Interleaving-Free Sampling

Yunjie Tian, Lingxi Xie, Jiemin Fang +3

The existing neural architecture search algorithms are mostly working on search spaces with short-distance connections. We argue that such designs, though safe and stable, obstacle…

cs.CV2016

Output Constraint Transfer for Kernelized Correlation Filter in Tracking

Baochang Zhang, Zhigang Li, Xianbin Cao +5

Kernelized Correlation Filter (KCF) is one of the state-of-the-art object trackers. However, it does not reasonably model the distribution of correlation response during tracking p…