Thalaiyasingam Ajanthan

19 papers · 2015–2025 · 9 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🏃 Academic Marathon (10) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (6)

🐝 Cross-Pollinator (6) 🌍 Conference Polyglot (9) 🏃 Academic Marathon (10) 🏆 Grand Slam 🧬 Topic Evolution 🔥 Unstoppable (11) 💎 Century Club (19) 🚀 Conference Pioneer 🗃️ Keyword Collector (73)

Conferences

CVPR (5) ICLR (4) ICCV (3) ECCV (2) AAAI (1) AISTATS (1) ICML (1) NIPS (1) WACV (1)

Top co-authors

Richard Hartley (6) Philip H. S. Torr (4) Philip Torr (3) Kartik Gupta (3) Namhoon Lee (3) Stephen Gould (3) Amir Rahimi (3) Mathieu Salzmann (3) Byron Boots (2) Ravi Garg (2)

Keywords

neural network quantization (3) graph cut (2) semantic segmentation (2) model compression (2) domain adaptation (2) image restoration (1) non-convex optimization (1) image classification (1) few-shot learning (1) adversarial robustness (1) representation learning (1) feature learning (1) energy minimization (1) computer vision (1) image retrieval (1) semi-supervised learning (1) deep learning (1) constrained optimization (1) multiple instance learning (1) unsupervised learning (1)

Papers

Learning Visual Hierarchies in Hyperbolic Space for Image Retrieval ICCV 2025 Nesterov Method for Asynchronous Pipeline Parallel Optimization ICML 2025 Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame NIPS 2024 Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups ICCV 2023 Few-Shot Weakly-Supervised Object Detection via Directional Statistics WACV 2022 Improved Gradient-Based Adversarial Attacks for Quantized Networks AAAI 2022 Retrieval Augmented Classification for Long-Tail Visual Recognition CVPR 2022 Understanding the effects of data parallelism and sparsity on neural network training ICLR 2021 Mirror Descent View for Neural Network Quantization AISTATS 2021 Calibration of Neural Networks using Splines ICLR 2021 Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization ECCV 2020 A Signal Propagation Perspective for Pruning Neural Networks at Initialization ICLR 2020 Learning to Adapt for Stereo CVPR 2019 Proximal Mean-Field for Neural Network Quantization ICCV 2019 SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY ICLR 2019 Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence ECCV 2018 Efficient Linear Programming for Dense CRFs CVPR 2017 Memory Efficient Max Flow for Multi-Label Submodular MRFs CVPR 2016 Iteratively Reweighted Graph Cut for Multi-Label MRFs With Non-Convex Priors CVPR 2015