PredGAN: a deep multi-scale video prediction framework for detecting anomalies in videos. - Adarsh Jamadandi; Sunidhi Kotturshettar; Uma Mudenagudi (ICVGIP, 2018)

Exemplar-based Underwater Image Enhancement Augmented by Wavelet Corrected Transforms. - Adarsh Jamadandi; Uma Mudenagudi (CVPR Workshops, 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)

Dethroning Aristocracy in Graphs via Adversarial Perturbations (Student Abstract). - Adarsh Jamadandi; Uma Mudenagudi (AAAI, 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)

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)

Spectral Graph Pruning Against Over-Squashing and Over-Smoothing. - Adarsh Jamadandi; Celia Rubio-Madrigal; Rebekka Burkholz (NeurIPS, 2024)

GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring. - Celia Rubio-Madrigal; Adarsh Jamadandi; Rebekka Burkholz (ICLR, 2025)