activity
20182026
most citedHIPA: Hierarchical Patch Transformer for Single Image Super Resolution

72 citations · 176 across the 18 of their papers we have counts for

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17 papers · 1 filter

cs.CV2026

PADFormer: Pose-agnostic Anomaly Detection from Sparse View Images

Ruiqi Wang, Yiming Qian, Fenggen Yu +4

Pose-agnostic Anomaly Detection (PAD) remains challenging as anomalies can appear under arbitrary viewpoints, requiring methods to handle significant pose variations. Existing appr…

cs.CV2024

DPA-Net: Structured 3D Abstraction from Sparse Views via Differentiable Primitive Assembly

Fenggen Yu, Yiming Qian, Xu Zhang +4

We present a differentiable rendering framework to learn structured 3D abstractions in the form of primitive assemblies from sparse RGB images capturing a 3D object. By leveraging…

cs.CV2023

Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning

Ahmed Hatem, Yiming Qian, Yang Wang

Affordable 3D scanners often produce sparse and non-uniform point clouds that negatively impact downstream applications in robotic systems. While existing point cloud upsampling ar…

cs.CV2023

Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning

Ahmed Hatem, Yiming Qian, Yang Wang

We present Point-TTA, a novel test-time adaptation framework for point cloud registration (PCR) that improves the generalization and the performance of registration models. While l…

cs.CV2023★ 1 cited

RoSI: Recovering 3D Shape Interiors from Few Articulation Images

Akshay Gadi Patil, Yiming Qian, Shan Yang +3

The dominant majority of 3D models that appear in gaming, VR/AR, and those we use to train geometric deep learning algorithms are incomplete, since they are modeled as surface mesh…

cs.CV2023★ 6 cited

Learning to Recover Spectral Reflectance from RGB Images

Dong Huo, Jian Wang, Yiming Qian +1

This paper tackles spectral reflectance recovery (SRR) from RGB images. Since capturing ground-truth spectral reflectance and camera spectral sensitivity are challenging and costly…

cs.CV2023

Inference Time Evidences of Adversarial Attacks for Forensic on Transformers

Hugo Lemarchant, Liangzi Li, Yiming Qian +2

Vision Transformers (ViTs) are becoming a very popular paradigm for vision tasks as they achieve state-of-the-art performance on image classification. However, although early works…

cs.CV2023

HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling

Fenggen Yu, Yiming Qian, Francisca Gil-Ureta +3

We present the first active learning tool for fine-grained 3D part labeling, a problem which challenges even the most advanced deep learning (DL) methods due to the significant str…

cs.CV2022

A Reliable Online Method for Joint Estimation of Focal Length and Camera Rotation

Yiming Qian, James H. Elder

Linear perspectivecues deriving from regularities of the built environment can be used to recalibrate both intrinsic and extrinsic camera parameters online, but these estimates can…

cs.CV2022★ 70 cited

Glass Segmentation with RGB-Thermal Image Pairs

Dong Huo, Jian Wang, Yiming Qian +1

This paper proposes a new glass segmentation method utilizing paired RGB and thermal images. Due to the large difference between the transmission property of visible light and that…

cs.CV2022★ 72 cited

HIPA: Hierarchical Patch Transformer for Single Image Super Resolution

Qing Cai, Yiming Qian, Jinxing Li +4

Transformer-based architectures start to emerge in single image super resolution (SISR) and have achieved promising performance. Most existing Vision Transformers divide images int…

cs.CV2021

HEAT: Holistic Edge Attention Transformer for Structured Reconstruction

Jiacheng Chen, Yiming Qian, Yasutaka Furukawa

This paper presents a novel attention-based neural network for structured reconstruction, which takes a 2D raster image as an input and reconstructs a planar graph depicting an und…

cs.CV2021★ 1 cited

Human Pose and Shape Estimation from Single Polarization Images

Shihao Zou, Xinxin Zuo, Sen Wang +3

This paper focuses on a new problem of estimating human pose and shape from single polarization images. Polarization camera is known to be able to capture the polarization of refle…

cs.CV2020★ 6 cited

Roof-GAN: Learning to Generate Roof Geometry and Relations for Residential Houses

Yiming Qian, Hao Zhang, Yasutaka Furukawa

This paper presents Roof-GAN, a novel generative adversarial network that generates structured geometry of residential roof structures as a set of roof primitives and their relatio…

cs.CV2020★ 1 cited

3D Human Shape Reconstruction from a Polarization Image

Shihao Zou, Xinxin Zuo, Yiming Qian +4

This paper tackles the problem of estimating 3D body shape of clothed humans from single polarized 2D images, i.e. polarization images. Polarization images are known to be able to…

cs.CV2020★ 6 cited

Polarization Human Shape and Pose Dataset

Shihao Zou, Xinxin Zuo, Yiming Qian +5

Polarization images are known to be able to capture polarized reflected lights that preserve rich geometric cues of an object, which has motivated its recent applications in recons…

cs.CV2020★ 1 cited

MCMLSD: A Probabilistic Algorithm and Evaluation Framework for Line Segment Detection

James H. Elder, Emilio J. Almazàn, Yiming Qian +1

Traditional approaches to line segment detection typically involve perceptual grouping in the image domain and/or global accumulation in the Hough domain. Here we propose a probabi…