← Authors

Hamed Pirsiavash

34 papers · 2009–2025 · 7 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (7) πŸ—ΊοΈ Taxonomy Completionist (58) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (16) 🌟 Keyword Trendsetter Combo (5) πŸ† Keyword Champion 🧬 Topic Evolution 🀝 Dynamic Duo (14) πŸš€ Conference Pioneer πŸ’Ž Century Club (34) πŸ—ƒοΈ Keyword Collector (128) ⚑ Prolific Year (6) πŸ”₯ Unstoppable (13) πŸ“ˆ Trend Setter

Conferences

CVPR (13) ICCV (6) NIPS (5) ECCV (3) WACV (3) AAAI (2) ICLR (2)

Top co-authors

Soroush Abbasi Koohpayegani (14) Ajinkya Tejankar (7) Antonio Torralba (6) Carl Vondrick (5) Soheil Kolouri (5) Vipin Pillai (4) Aniruddha Saha (4) Akshayvarun Subramanya (4) Parsa Nooralinejad (4) Paolo Favaro (3)

Research topics

Privacy (2)

Keywords

self-supervised learning (8) representation learning (7) backdoor attack (5) image classification (4) adversarial attack (4) convolutional neural network (4) model compression (4) contrastive learning (3) action recognition (3) vision transformer (3) transfer learning (3) efficient computing (2) visual representation (2) data poisoning (2) adversarial learning (2) knowledge distillation (2) video prediction (2) attention mechanism (2) object detection (2) knowledge transfer (2)

Papers

MCNC: Manifold-Constrained Reparameterization for Neural Compression ICLR 2025
A Closer Look at Robustness of Vision Transformers to Backdoor Attacks WACV 2024
SimA: Simple Softmax-Free Attention for Vision Transformers WACV 2024
SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers CVPR 2024
NOLA: Compressing LoRA using Linear Combination of Random Basis ICLR 2024
CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization ECCV 2024
BrainWash: A Poisoning Attack to Forget in Continual Learning CVPR 2024
Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning CVPR 2023
PRANC: Pseudo RAndom Networks for Compacting Deep Models ICCV 2023
MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-Shot Video Classification WACV 2023
Adaptive Token Sampling for Efficient Vision Transformers ECCV 2022
Backdoor Attacks on Self-Supervised Learning CVPR 2022
Consistent Explanations by Contrastive Learning CVPR 2022
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning ECCV 2022
ISD: Self-Supervised Learning by Iterative Similarity Distillation ICCV 2021
Mean Shift for Self-Supervised Learning ICCV 2021
Explainable Models with Consistent Interpretations AAAI 2021
Hidden Trigger Backdoor Attacks AAAI 2020
CompRess: Self-Supervised Learning by Compressing Representations NIPS 2020
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning NIPS 2020
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs CVPR 2020
Fooling Network Interpretation in Image Classification ICCV 2019
Boosting Self-Supervised Learning via Knowledge Transfer CVPR 2018
Weakly Supervised Cascaded Convolutional Networks CVPR 2017
Representation Learning by Learning to Count ICCV 2017
Learning Aligned Cross-Modal Representations From Weakly Aligned Data CVPR 2016
DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns CVPR 2016
Generating Videos with Scene Dynamics NIPS 2016
Anticipating Visual Representations From Unlabeled Video CVPR 2016
Predicting Motivations of Actions by Leveraging Text CVPR 2016
Learning visual biases from human imagination NIPS 2015
Parsing Videos of Actions with Segmental Grammars CVPR 2014
Parsing IKEA Objects: Fine Pose Estimation ICCV 2013
Bilinear classifiers for visual recognition NIPS 2009