Hamed Pirsiavash

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

Achievements

+13 more ↓

🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (16)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (16) 🌟 Keyword Trendsetter Combo (5) 🏆 Keyword Champion 🧬 Topic Evolution 🤝 Dynamic Duo (14) 🚀 Conference Pioneer 💎 Century Club (34) 🗃️ Keyword Collector (128) ⚡ Prolific Year (6) 🔥 Unstoppable (13) 📈 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