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12 papers in the last four weeks, up 33% on the four weeks before. 0.1% of all new papers.

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EcoBin: A Two-Stage Deep Convolutional Neural Network for Contamination-Aware Waste Classification
Jun 14, 2026Raghav Senthil KumarWaste Classifier
BASIS Phoenix Phoenix, Arizona, USA
Texture-Shape Bias Balancing for Robust Synthetic-to-Real Semantic Segmentation in Automotive NIR Imagery
Jun 13, 2026Felix Stillger, Ben Hamscher, Lukas Hahn +3Synthetic-To-Real Domain Gap Efficient Semantic Segmentation
University of Wuppertal, Germany · Heinrich Heine University Düsseldorf, Germany · Aptiv, Germany +1
EvTexture++: Event-Driven Texture Enhancement for Video Super-Resolution
Jun 11, 2026Dachun Kai, Jiayao Lu, Yueyi Zhang +1Image Enhancement Texture
MOE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei 230027, China · Midea Group, Shanghai 201700, China
Where Does Texture Evidence Live in SAM? Features, Proposal Masks, and Texture Segmentation
Jun 7, 2026Nadav Orenstein, Aviad Cohen Zada, Shai Avidan +1Segment Anything Model Texture
Tel Aviv University, Israel · Stanford University, Technion, USA
Sub-Semantic Image Segmentation
Jun 7, 2026Aviad Cohen Zada, Nadav Orenstein, Shai Avidan +1Efficient Semantic Segmentation Recent Vision-Language Models
Tel Aviv University, Israel · Stanford University, Technion, USA · Technion
Geometry Gaussians: Decoupling Appearance and Geometry in Gaussian Splatting
Jun 3, 2026Hongyu Zhou, Zorah LähnerGaussian Splatting Surface Representation
University of Bonn, Germany · Lamarr Institut
PHAF-Personalized Hand Avatars in a Flash
Jun 2, 2026Meghana Shankar, Akanxit Upadhyay, Anmol Namdev +2Avatars 3D Hand
Samsung R&D Institue Bangalore Bangalore, Karnataka, India
Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization
Jun 1, 2026Yusuke Ohtsubo, Kota Dohi, Koichiro Yawata +2Synthetic-To-Real Domain Gap Semiconductor Manufacturing
Hitachi, Ltd. R&D Group, Tokyo, Japan
HiTokSR: A Coarse-to-Fine Tokenizer with Hierarchical Codebooks for High-Fidelity Real-World Image Super-Resolution
May 31, 2026Mingxi LiReal-World Image Super-Resolution Visual Tokenizers
Advances in Neural 3D Mesh Texturing: A Survey
May 28, 2026Sai Raj Kishore Perla, Hao Zhang, Ali Mahdavi-AmiriTexture 3D Generative Models
Simon Fraser University
How to Relieve Distribution Shifts in Semantic Segmentation for Off-Road Environments
May 28, 2026Ji-Hoon Hwang, Daeyoung Kim, Hyung-Suk Yoon +2Semantic Segmentation Distribution Shifts
Department of Electrical and Communication Engineering, Seoul National University, Korea
On the Equivariant Learning of the $Q$ -tensor Order Parameter
May 26, 2026Julia Navarro, Mark WilkinsonEquivariant Neural Networks Equivariant Learning
Nottingham Trent University, UK · Berea College, USA
Chaos-SSL: An Attention-Based Self-Supervised Learning Framework with Chaotic Transformation for Medical Image Classification
May 26, 2026Joao Batista FlorindoMedical Image Classification Self-Supervised Learning
Institute of Mathematics, Statistics and Scientific Computing, University of Campinas, Rua Sergio Buarque de Holanda, 651, Campinas, Brazil
OMGTex: One-stage Multi-style Facial Texture Reconstruction without Geometry Guidance
May 25, 2026Zitong Xiao, Yuda Qiu, Zisheng Ye +1Blind Face Restoration Texture
School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen · Guangdong Provincial Key Laboratory of Future Networks of Intelligence · FNii-Shenzhen
SAFE-Diff: Scale-Aware Attention and Feature-Dispersive Diffusion with Uncertainty Estimation for Contrast-Enhanced Breast MRI Synthesis
May 25, 2026Tianyu Zhang, Xinglong Liang, Jarek van Dijk +13Medical Image Generation Magnetic Resonance Imaging
Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands · Department of Radiology, Netherlands Cancer Institute, Plesmanlaan 121, 1066May CX, Amsterdam, The Netherlands · Maastro Clinic, Dr. Tanslaan 12, 6229 ET, Maastricht, The Netherlands +2
Not Too Generative, Not Too Discriminative: The Human Alignment Sweet Spot
May 22, 2026Jorge Chang Ortega, Bastien Le Lan, Thomas Serre +1Discriminative Generative Models
ANITI · Brown University, ANITI · CNRS, ANITI
VINS-120K: Ultra High-Resolution Image Editing with A Large-Scale Dataset
May 22, 2026Zhizhou Chen, Shanyan Guan, Zhanxin Gao +6High-Resolution Image Editing
Nanjing University, China · vivo, China
Vision Transformers and Convolutional Neural Networks for Land Use Scene Classification
May 20, 2026Arun D. KulkarniLand Cover Convolutional Neural Networks
Computer Science Department, University of Texas at Tyler, Tyler, TX 75799, USA
LPH-VTON: Resolving the Structure-Texture Dilemma of Virtual Try-On via Latent Process Handover
May 14, 2026Yixin Liu, Baihong Qian, Jinglin Jiang +6Virtual Try-On Texture
Shanghai Jiao Tong University
IG-Diff: Complex Night Scene Restoration with Illumination-Guided Diffusion Model
May 14, 2026Yifan Chen, Fei Yin, Chunle Guo +2Low-Light Images Image Restoration
Tsinghua Univerisity · NanKai University
Generative Texture Diversification of 3D Pedestrians for Robust Autonomous Driving Perception
May 13, 2026Arka Bhowmick, Enes Ozeren, Ahmed Abdullah +1Autonomous Driving Perception Pedestrian Detection
1BIT Technology Solutions GmbH, Germany · 2Mannheim University of Applied Sciences, Germany
Texture Regenerating and Grafting Using Genome-Driven Neural Cellular Automata
May 13, 2026Mirela-Magdalena Catrina, Ioana Cristina Plajer, Alexandra BăicoianuNeural Cellular Automata Texture
Transilvania University of Brașov, Faculty of Mathematics and Informatics 29 Eroilor, 500036, Brașov, Romania
Is Your Driving World Model an All-Around Player?
May 11, 2026Lingdong Kong, Ao Liang, Tianyi Yan +20Video World Models World Models
NUS · UM · USTC +10
3DReflecNet: A Large-Scale Dataset for 3D Reconstruction of Reflective, Transparent, and Low-Texture Objects
May 11, 2026Zhicheng Liang, Haoyi Yu, Boyan Li +6Large-Scale 3D Editing Dataset 3D Reconstruction
The Chinese University of Hong Kong, Shenzhen · Capital Normal University · University of Southern California
ImplantMamba: Long-range Sequential Modeling Mamba For Dental Implant Position Prediction
May 8, 2026Xinquan Yang, Congmin Wang, Xuguang Li +3Occlusal Constraint Topomamba
School of Artiﬁcal Intelligence, Shenzhen University, Shenzhen, China · National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, China · Huangpu People’s Hospital, Zhongshan City, China +1
Bridging Restoration and Generation Manifolds in One-Step Diffusion for Real-World Super-Resolution
Apr 27, 2026Shyang-En Weng, Yi-Cheng Liao, Yu-Syuan Xu +2Real-World Image Super-Resolution Restoration
National Yang Ming Chiao Tung University, Hsinchu, Taiwan · MediaTek Inc., Taiwan
Generative Texture Filtering
Apr 21, 2026Rongjia Zheng, Shangwei Huang, Lei Zhu +2Texture Single-Cell Foundation Models
Sun Yat-sen University, China · Hong Kong University of Science and Technology (Guangzhou), China
Sketch and Text Synergy: Fusing Structural Contours and Descriptive Attributes for Fine-Grained Image Retrieval
Apr 17, 2026Siyuan Wang, Hanchen Gao, Guangming Zhu +5Fine-Grained Perception Multimodal Retrieval
Xidian University · First Aircraft Design Institute
LP $^{2}$ DH: A Locality-Preserving Pixel-Difference Hashing Framework for Dynamic Texture Recognition
Apr 17, 2026Ruxin Ding, Jianfeng Ren, Heng Yu +2Locality-Sensitive Hashing Spatiotemporal Representations
School of Computer Science, University of Nottingham Ningbo China, Ningbo 315100, China · School of Electrical & Electronic Engineering, Nanyang Technological University, Nanyang Link, 639798 Singapore
Neural Harmonic Textures for High-Quality Primitive Based Neural Reconstruction
Apr 1, 2026Jorge Condor, Nicolas Moenne-Loccoz, Merlin Nimier-David +3Neural Reconstruction Novel View Synthesis
NVIDIA · Università della Svizzera italiana, Lugano, Switzerland
Under One Sun: Multi-Object Generative Perception of Materials and Illumination
Mar 19, 2026Nobuo Yoshii, Xinran Nicole Han, Ryo Kawahara +2Inverse Rendering Illumination Variations
Kyoto University · Harvard University
EReCu: Pseudo-label Evolution Fusion and Refinement with Multi-Cue Learning for Unsupervised Camouflage Detection
Mar 12, 2026Shuo Jiang, Gaojia Zhang, Min Tan +2Camouflaged Object Detection Pseudo-Label Quality
Zhejiang Key Laboratory of Space Information Sensing and Transmission, Hangzhou Dianzi University · Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University · College of Computer Science and Technology, Zhejiang University
Neural Particle Automata: Learning Self-Organizing Particle Dynamics
Jan 22, 2026Hyunsoo Kim, Ehsan Pajouheshgar, Sabine Süsstrunk +2Neural Cellular Automata Particle Dynamics
KAIST, South Korea · EPFL, Switzerland
One-Shot Feed-Forward 360 $^{\circ}$ Animatable Avatar via Inpainted UV-Space Gaussian Modeling
Jan 19, 2026Shuling Zhao, Dan XuAnimatable 3D Human Avatars Avatars
The Hong Kong University of Science and Technology · Zeekr Automobile R&D Co., Ltd.
A $^2$ TG: Adaptive Anisotropic Textured Gaussians for Efficient 3D Scene Representation
Jan 14, 2026Sheng-Chi Hsu, Ting-Yu Yen, Shih-Hsuan Hung +1Gaussian Splatting Texture
National Tsing Hua University
NI-Tex: Non-isometric Image-based Garment Texture Generation
Nov 24, 2025Hui Shan, Ming Li, Haitao Yang +4Texture Garments
Zhejiang University · Shanghai Innovation Institute · Westlake University +2
Enhancing Monocular 3D Hand Reconstruction with Learned Texture Priors
Aug 13, 2025Giorgos Karvounas, Nikolaos Kyriazis, Iason Oikonomidis +23D Hand Texture
1ICS-FORTH · University of Crete · University of Texas at Austin

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EcoBin: A Two-Stage Deep Convolutional Neural Network for Contamination-Aware Waste Classification

Raghav Senthil Kumar

BASIS Phoenix Phoenix, Arizona, USA

Waste Classifier Convolutional Neural Networks Texture

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Waste classification models have become highly accurate at sorting waste, often exceeding 95% on benchmark datasets. However, these models fail to account for contamination in recyclable waste. We present EcoBin, a two-stage deep convolutional neural network that classifies household waste by its disposal pathway and that explicitly accounts for contamination. The first stage is a base waste classifier built on an EfficientNetV2-S backbone that assigns each of the thirty waste categories in our dataset to one of four disposal pathways. The second stage is a contamination classifier that inspects any item routed toward recycling and overrides the decision to garbage when contamination is detected. Because no public dataset of contaminated recyclables exists, we synthesize one by segmenting images of clean recyclable objects with a U2-Net model and compositing realistic contamination textures onto their surfaces. The first stage achieves 87.42% test accuracy and a 96.13% pathway-adjusted accuracy. Meanwhile, the contamination stage distinguishes clean from contaminated items with a 0.99 ROC-AUC. On a test set of contaminated recyclables, the complete pipeline routes 24 of 25 items correctly, compared with only 1 of 25 for the base classifier alone. A McNemar's test confirms that the improvement contributed by the contamination stage is statistically significant (p < 0.001).

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Latest papers 97