works on

From the 1 of 16 linked papers with an AI index.

activity
20182021
most citedAutomatically Discovering and Learning New Visual Categories with Ranking Statistics

34 citations · 76 across the 7 of their papers we have counts for

collaborators

16 papers

cs.CV202117 cited

Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification

Peng Wang, Kai Han, Xiu-Shen Wei +2

Learning discriminative image representations plays a vital role in long-tailed image classification because it can ease the classifier learning in imbalanced cases. Given the prom…

cs.CV20213 cited

Fixed Viewpoint Mirror Surface Reconstruction under an Uncalibrated Camera

Kai Han, Miaomiao Liu, Dirk Schnieders +1

This paper addresses the problem of mirror surface reconstruction, and proposes a solution based on observing the reflections of a moving reference plane on the mirror surface. Unl…

cs.CV2020

Resolution Correspondence Networks

Georgi Tinchev, Shuda Li, Kai Han +2

In this paper, we aim at establishing accurate dense correspondences between a pair of images with overlapping field of view under challenging illumination variation, viewpoint cha…

cs.CV20203 cited

Deep Photometric Stereo for Non-Lambertian Surfaces

Guanying Chen, Kai Han, Boxin Shi +2

This paper addresses the problem of photometric stereo, in both calibrated and uncalibrated scenarios, for non-Lambertian surfaces based on deep learning. We first introduce a full…

cs.CV2020

LSD-C: Linearly Separable Deep Clusters

Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Kai Han +2

We present LSD-C, a novel method to identify clusters in an unlabeled dataset. Our algorithm first establishes pairwise connections in the feature space between the samples of the…

cs.CV2020

Dual-Resolution Correspondence Networks

Xinghui Li, Kai Han, Shuda Li +1

We tackle the problem of establishing dense pixel-wise correspondences between a pair of images. In this work, we introduce Dual-Resolution Correspondence Networks (DualRC-Net), to…