activity
20132021
most citedUnsupervised Deep Image Stitching: Reconstructing Stitched Features to Images

287 citations · 501 across the 14 of their papers we have counts for

collaborators

29 papers

cs.CV2021287 cited

Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images

Lang Nie, Chunyu Lin, Kang Liao +2

Traditional feature-based image stitching technologies rely heavily on feature detection quality, often failing to stitch images with few features or low resolution. The learning-b…

cs.CV2021153 cited

Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation

Bingfeng Zhang, Jimin Xiao, Jianbo Jiao +2

Weakly supervised semantic segmentation is receiving great attention due to its low human annotation cost. In this paper, we aim to tackle bounding box supervised semantic segmenta…

cs.CV20213 cited

Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow

Shangrong Yang, Chunyu Lin, Kang Liao +2

Distortion rectification is often required for fisheye images. The generation-based method is one mainstream solution due to its label-free property, but its naive skip-connection…

cs.MM202136 cited

Efficient video integrity analysis through container characterization

Pengpeng Yang, Daniele Baracchi, Massimo Iuliani +4

Most video forensic techniques look for traces within the data stream that are, however, mostly ineffective when dealing with strongly compressed or low resolution videos. Recent r…

cs.LG2020

Towards Natural Robustness Against Adversarial Examples

Haoyu Chu, Shikui Wei, Yao Zhao

Recent studies have shown that deep neural networks are vulnerable to adversarial examples, but most of the methods proposed to defense adversarial examples cannot solve this probl…

cs.CV20201 cited

Fast Template Matching and Update for Video Object Tracking and Segmentation

Mingjie Sun, Jimin Xiao, Eng Gee Lim +2

In this paper, the main task we aim to tackle is the multi-instance semi-supervised video object segmentation across a sequence of frames where only the first-frame box-level groun…