Decision fusion for robust horizon estimation using Dempster Shafer Combination Rule. - Ramesh Ashok Tabib; Ujwala Patil; Syed Altaf Ganihar; Neeta Trivedi; Uma Mudenagudi (NCVPRIPG, 2013)

Evidence Based Feature Selection and Collaborative Representation Towards Learning Based PSF Estimation for Motion Deblurring. - Rohan Raju Dhanakshirur; Ramesh Ashok Tabib; Ujwala Patil; Uma Mudenagudi (ICCV Workshops, 2019)

Multiple Object Detection in 360° Videos for Robust Tracking. - V. Vineeth Kumar; Shanthika Naik; Polisetty L. Sarvani; Shreya M. Pattanshetti; Uma Mudenagudi; Meena Maralappanavar; Priyadarshini M. Patil; Ramesh Ashok Tabib; Basavaraja S. Vandrotti (PReMI (2), 2019)

Learning Based Image Selection for 3D Reconstruction of Heritage Sites. - Ramesh Ashok Tabib; Abhay Kagalkar; Abhijeet Ganapule; Ujwala Patil; Uma Mudenagudi (PReMI (1), 2019)

A Polynomial Surface Fit Algorithm for Filling Holes in Point Cloud Data. - Vishwanath S. Teggihalli; Ramesh Ashok Tabib; Adarsh Jamadandi; Uma Mudenagudi (PReMI (1), 2019)

3D-GCNN - 3D Object Classification Using 3D Grid Convolutional Neural Networks. - Rishabh Tigadoli; Ramesh Ashok Tabib; Adarsh Jamadandi; Uma Mudenagudi (PReMI (1), 2019)

Probabilistic Word Embeddings in Kinematic Space. - Adarsh Jamadandi; Rishabh Tigadoli; Ramesh Ashok Tabib; Uma Mudenagudi (ICPR, 2020)

FeatureNet: Upsampling of Point Cloud and it's Associated Features. - Shanthika Naik; Uma Mudenagudi; Ramesh Ashok Tabib; Adarsh Jamadandi (SIGGRAPH Asia Posters, 2020)

Refining SfM Reconstructed Models of Indian Heritage Sites. - T. Santoshkumar; Deepti Hegde; Ramesh Ashok Tabib; Uma Mudenagudi (SIGGRAPH Asia Posters, 2020)

RUIG: Realistic Underwater Image Generation Towards Restoration. - Chaitra Desai; Ramesh Ashok Tabib; Sai Sudheer Reddy; Ujwala Patil; Uma Mudenagudi (CVPR Workshops, 2021)

DeepDNet: Deep Dense Network for Depth Completion Task. - Girish Hegde; Tushar Pharale; Soumya Jahagirdar; Vaishakh Nargund; Ramesh Ashok Tabib; Uma Mudenagudi; Basavaraja S. Vandrotti; Ankit Dhiman (CVPR Workshops, 2021)

PointDCCNet: 3D Object Categorization Network Using Point Cloud Decomposition. - Siddharth Katageri; Sameer Kulmi; Ramesh Ashok Tabib; Uma Mudenagudi (CVPR Workshops, 2021)

ABD-Net: Attention Based Decomposition Network for 3D Point Cloud Decomposition. - Siddharth Katageri; Shashidhar Veerappa Kudari; Akshaykumar Gunari; Ramesh Ashok Tabib; Uma Mudenagudi (ICCVW, 2021)

Modeling nuisance classifier towards class-incremental learning of crowd-sourced data. - Ramesh Ashok Tabib; T. Santoshkumar; Dikshit Hegde; Adarsh Jamadandi; Uma Mudenagudi (ICVGIP, 2021)

Rendering of Synthetic Underwater Images Towards Restoration. - Chaitra Desai; Ramesh Ashok Tabib; Sai Sudheer Reddy; Ujwala Patil; Uma Mudenagudi (SIGGRAPH ASIA Posters, 2021)

Deep Visual Attention-Based Transfer Clustering. - Akshaykumar Gunari; Shashidhar Veerappa Kudari; Sukanya Nadagadalli; Keerthi Goudnaik; Ramesh Ashok Tabib; Uma Mudenagudi; Adarsh Jamadandi (CoRR, 2021)

Augmented Data as an Auxiliary Plug-in Towards Categorization of Crowdsourced Heritage Data. - Shashidhar Veerappa Kudari; Akshaykumar Gunari; Adarsh Jamadandi; Ramesh Ashok Tabib; Uma Mudenagudi (CoRR, 2021)

VG-VAE: A Venatus Geometry Point-Cloud Variational Auto-Encoder. - Tejas Anvekar; Ramesh Ashok Tabib; Dikshit Hegde; Uma Mudengudi (CVPR Workshops, 2022)

AquaGAN: Restoration of Underwater Images. - Chaitra Desai; Badduri Sai Sudheer Reddy; Ramesh Ashok Tabib; Ujwala Patil; Uma Mudenagudi (CVPR Workshops, 2022)

NTIRE 2022 Challenge on Night Photography Rendering. - Egor I. Ershov; Alexey Savchik; Denis A. Shepelev; Nikola Banic; Michael S. Brown; Radu Timofte; Karlo Koscevic; Michael Freeman; Vasily Tesalin; Dmitry Bocharov; Illya Semenkov; Marko Subasic; et al. (CVPR Workshops, 2022)

DA-AE: Disparity-Alleviation Auto-Encoder Towards Categorization of Heritage Images for Aggrandized 3D Reconstruction. - Dikshit Hegde; Tejas Anvekar; Ramesh Ashok Tabib; Uma Mudengudi (CVPR Workshops, 2022)

Progressive Clustering: An Unsupervised Approach Towards Continual Knowledge Acquisition of Incremental Data. - Akshaykumar Gunari; Shashidhar Veerappa Kudari; Ramesh Ashok Tabib; Uma Mudenagudi (ICPRAI (2), 2022)

Metric-KNN is All You Need. - Tejas Anvekar; Ramesh Ashok Tabib; Dikshit Hegde; Uma Mudenagudi (SIGGRAPH Asia Posters, 2022)

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. - Benjamin Kiefer; Matej Kristan; Janez Pers; Lojze Zust; Fabio Poiesi; Fabio Augusto de Alcantara Andrade; Alexandre Bernardino; Matthew Dawkins; Jenni Raitoharju; Yitong Quan; Adem Atmaca; Timon Höfer; et al. (CoRR, 2022)

MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results. - Yuekun Dai; Chongyi Li; Shangchen Zhou; Ruicheng Feng; Qingpeng Zhu; Qianhui Sun 002; Wenxiu Sun; Chen Change Loy; Jinwei Gu; Shuai Liu 009; Hao Wang 073; Chaoyu Feng; et al. (CVPR Workshops, 2023)

IPD-Net: SO(3) Invariant Primitive Decompositional Network for 3D Point Clouds. - Ramesh Ashok Tabib; Nitishkumar Upasi; Tejas Anvekar; Dikshit Hegde; Uma Mudenagudi (CVPR Workshops, 2023)

LightNet: Generative Model for Enhancement of Low-Light Images. - Chaitra Desai; Nikhil Akalwadi; Amogh Joshi 001; Sampada Malagi; Chinmayee Mandi; Ramesh Ashok Tabib; Ujwala Patil; Uma Mudenagudi (ICCV (Workshops), 2023)

ASUR3D: Arbitrary Scale Upsampling and Refinement of 3D Point Clouds using Local Occupancy Fields. - Akash Kumbar; Tejas Anvekar; Ramesh Ashok Tabib; Uma Mudenagudi (ICCV (Workshops), 2023)

TP-NoDe: Topology-aware Progressive Noising and Denoising of Point Clouds towards Upsampling. - Akash Kumbar; Tejas Anvekar; Tulasi Amitha Vikrama; Ramesh Ashok Tabib; Uma Mudenagudi (ICCV (Workshops), 2023)

DeFi: Detection and Filling of Holes in Point Clouds Towards Restoration of Digitized Cultural Heritage Models. - Ramesh Ashok Tabib; Dikshit Hegde; Tejas Anvekar; Uma Mudenagudi (ICCV (Workshops), 2023)

DeFlare-Net: Flare Detection and Removal Network. - Allabakash Ghodesawar; Vinod Patil; Ankit Raichur; Swaroop Adrashyappanamath; Sampada Malagi; Nikhil Akalwadi; Chaitra Desai; Ramesh Ashok Tabib; Ujwala Patil; Uma Mudenagudi (PReMI, 2023)

DepthCue: Restoration of Underwater Images Using Monocular Depth as a Clue. - Chaitra Desai; Sujay Benur; Ramesh Ashok Tabib; Ujwala Patil; Uma Mudenagudi (WACV (Workshops), 2023)

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. - Benjamin Kiefer; Matej Kristan; Janez Pers; Lojze Zust; Fabio Poiesi; Fabio Augusto de Alcantara Andrade; Alexandre Bernardino; Matthew Dawkins; Jenni Raitoharju; Yitong Quan; Adem Atmaca; Timon Höfer; et al. (WACV (Workshops), 2023)

PointCLIMB: An Exemplar-Free Point Cloud Class Incremental Benchmark. - Shivanand Kundargi; Tejas Anvekar; Ramesh Ashok Tabib; Uma Mudenagudi (CoRR, 2023)

Novel Class Discovery for Representation of Real-World Heritage Data as Neural Radiance Fields (Student Abstract). - Shivanand Kundargi; Tejas Anvekar; Ramesh Ashok Tabib; Uma Mudenagudi (AAAI, 2024)

NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report. - Codruta O. Ancuti; Cosmin Ancuti; Florin-Alexandru Vasluianu; Radu Timofte; Yidi Liu; Xingbo Wang; Yurui Zhu; Gege Shi; Xin Lu 006; Xueyang Fu; Zheng-Jun Zha; Wei Dong 010; et al. (CVPR Workshops, 2024)

NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results. - Zheng Chen 014; Zongwei Wu; Eduard Zamfir; Kai Zhang 008; Yulun Zhang 001; Radu Timofte; Xiaokang Yang 001; Hongyuan Yu; Cheng Wan 006; Yuxin Hong; Zhijuan Huang; Yajun Zou; et al. (CVPR Workshops, 2024)

HNN: Hierarchical Noise-Deinterlace Net Towards Image Denoising. - Amogh Joshi 001; Nikhil Akalwadi; Chinmayee Mandi; Chaitra Desai; Ramesh Ashok Tabib; Ujwala Patil; Uma Mudenagudi (CVPR Workshops, 2024)

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. - Xiaoning Liu 003; Zongwei Wu; Ao Li 007; Florin-Alexandru Vasluianu; Yulun Zhang 001; Shuhang Gu; Le Zhang 001; Ce Zhu; Radu Timofte; Zhi Jin; Hongjun Wu; Chenxi Wang; et al. (CVPR Workshops, 2024)

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report. - Bin Ren; Yawei Li 001; Nancy Mehta; Radu Timofte; Hongyuan Yu; Cheng Wan; Yuxin Hong; Bingnan Han; Zhuoyuan Wu; Yajun Zou; Yuqing Liu; Jizhe Li; et al. (CVPR Workshops, 2024)

LGAfford-Net: A Local Geometry Aware Affordance Detection Network for 3D Point Clouds. - Ramesh Ashok Tabib; Dikshit Hegde; Uma Mudenagudi (CVPR Workshops, 2024)

NTIRE 2024 Image Shadow Removal Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Zhuyun Zhou; Zongwei Wu; Cailian Chen; Radu Timofte; Wei Dong; Han Zhou; Yuqiong Tian; Jun Chen; Xueyang Fu; Xin Lu 006; et al. (CVPR Workshops, 2024)

NTIRE 2024 Challenge on Image Super-Resolution (⨉4): Methods and Results. - Zheng Chen 014; Zongwei Wu; Eduard Zamfir; Kai Zhang 008; Yulun Zhang 001; Radu Timofte; Xiaokang Yang 001; Hongyuan Yu; Cheng Wan 006; Yuxin Hong; Zhijuan Huang; Yajun Zou; et al. (CoRR, 2024)

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. - Xiaoning Liu 003; Zongwei Wu; Ao Li 007; Florin-Alexandru Vasluianu; Yulun Zhang 001; Shuhang Gu; Le Zhang 001; Ce Zhu; Radu Timofte; Zhi Jin; Hongjun Wu; Chenxi Wang; et al. (CoRR, 2024)

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results. - Zheng Chen 014; Kai Liu; Jue Gong; Jingkai Wang 003; Lei Sun 016; Zongwei Wu; Radu Timofte; Yulun Zhang 001; Xiangyu Kong; Xiaoxuan Yu; Hyunhee Park; Suejin Han; et al. (CVPR Workshops, 2025)

NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results. - Xiaoning Liu 003; Zongwei Wu; Florin-Alexandru Vasluianu; Hailong Yan; Bin Ren; Yulun Zhang 001; Shuhang Gu; Le Zhang 001; Ce Zhu; Radu Timofte; Kangbiao Shi; Yixu Feng; et al. (CVPR Workshops, 2025)

NTIRE 2025 Image Shadow Removal Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Zhuyun Zhou; Cailan Chen; Zongwei Wu; Radu Timofte; Mingjia Li 001; Jin Hu; Hainuo Wang; Hengxing Liu; Jiarui Wang; Qiming Hu; et al. (CVPR Workshops, 2025)

NTIRE 2025 Ambient Lighting Normalization Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Zhuyun Zhou; Zongwei Wu; Radu Timofte; Yuanfei Bao; Xingbo Wang; Xin Lu 006; Jiarong Yang; Anya Hu; Kunyu Wang; Jie Xiao 002; et al. (CVPR Workshops, 2025)

NTIRE 2025 Challenge on Single Image Reflection Removal in the Wild: Datasets, Methods and Results. - Kangning Yang; Jie Cai 001; Ling Ouyang; Florin-Alexandru Vasluianu; Radu Timofte; Jiaming Ding; Huiming Sun; Lan Fu; Jinlong Li; Chiu Man Ho; Zibo Meng; Mingjia Li 001; et al. (CVPR Workshops, 2025)

The Tenth NTIRE 2025 Image Denoising Challenge Report. - Lei Sun 016; Hang Guo; Bin Ren; Luc Van Gool; Radu Timofte; Yawei Li 001; Xiangyu Kong; Hyunhee Park; Xiaoxuan Yu; Suejin Han; Hakjae Jeon; Jia Li 044; et al. (CoRR, 2025)

NTIRE 2025 Challenge on Image Super-Resolution (⨉4): Methods and Results. - Zheng Chen 014; Kai Liu; Jue Gong; Jingkai Wang 003; Lei Sun 016; Zongwei Wu; Radu Timofte; Yulun Zhang 001; Xiangyu Kong; Xiaoxuan Yu; Hyunhee Park; Suejin Han; et al. (CoRR, 2025)

NTIRE 2025 Image Shadow Removal Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Zhuyun Zhou; Cailian Chen; Zongwei Wu; Radu Timofte; Mingjia Li 001; Jin Hu; Hainuo Wang; Hengxing Liu; Jiarui Wang; Qiming Hu; et al. (CoRR, 2025)