activity
20102022
most citedRecent Advances in Convolutional Neural Networks

325 citations · 2k across the 89 of their papers we have counts for

collaborators

91 papers

cs.CV2022★ 1 cited

ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues

Hengcan Shi, Munawar Hayat, Yicheng Wu +1

Object proposal generation is an important and fundamental task in computer vision. In this paper, we propose ProposalCLIP, a method towards unsupervised open-category object propo…

cs.CV2022

Unpaired Referring Expression Grounding via Bidirectional Cross-Modal Matching

Hengcan Shi, Munawar Hayat, Jianfei Cai

Referring expression grounding is an important and challenging task in computer vision. To avoid the laborious annotation in conventional referring grounding, unpaired referring gr…

cs.CV2021★ 19 cited

GMFlow: Learning Optical Flow via Global Matching

Haofei Xu, Jing Zhang, Jianfei Cai +2

Learning-based optical flow estimation has been dominated with the pipeline of cost volume with convolutions for flow regression, which is inherently limited to local correlations…

cs.CV2021★ 16 cited

Pruning Self-attentions into Convolutional Layers in Single Path

Haoyu He, Jianfei Cai, Jing Liu +4

Vision Transformers (ViTs) have achieved impressive performance over various computer vision tasks. However, modeling global correlations with multi-head self-attention (MSA) layer…

cs.CV2021★ 1 cited

Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation

Chuang Lin, Yi Jiang, Jianfei Cai +3

Vision-and-Language Navigation (VLN) is a task that an agent is required to follow a language instruction to navigate to the goal position, which relies on the ongoing interactions…

cs.CV2021

CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing

Daxuan Ren, Jianmin Zheng, Jianfei Cai +8

Generating an interpretable and compact representation of 3D shapes from point clouds is an important and challenging problem. This paper presents CSG-Stump Net, an unsupervised en…