Alex Kot
21 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Research topics
Deep Learning
(12)
Machine Learning
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Computer Vision
(9)
Learning Types Β· Machine Learning
(9)
Learning Types Β· Deep Learning
(9)
Processing
(7)
Artificial Intelligence
(6)
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(4)
Core Methods
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Analysis
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Natural Language Processing
(1)
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Keywords
self-supervised learning
(3)
image restoration
(2)
video understanding
(2)
adversarial attack
(2)
domain generalization
(1)
spectral clustering
(1)
catastrophic forgetting
(1)
scene understanding
(1)
vision transformer
(1)
video classification
(1)
feature space
(1)
multimodal learning
(1)
expectation maximization
(1)
audio-visual learning
(1)
corruption robustness
(1)
transfer learning
(1)
semantic segmentation
(1)
visual attention
(1)
conditional distribution
(1)
continual learning
(1)
Papers
From Pretrain to Pain: Adversarial Vulnerability of Video Foundation Models Without Task Knowledge
AAAI 2026
SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision
AAAI 2026
Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger
AAAI 2025
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
ICML 2025
Pay Attention to the Foreground in Object-Centric Learning
CVPR 2025
Vid-Group: Temporal Video Grounding Pretraining from Unlabeled Videos in the Wild
ICCV 2025
BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models
ECCV 2024
Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach
ICML 2024
E3M: Zero-Shot Spatio-Temporal Video Grounding with Expectation-Maximization Multimodal Modulation
ECCV 2024
From Chaos to Clarity: 3DGS in the Dark
NeurIPS 2024
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders
ICML 2024
STSP: Spatial-Temporal Subspace Projection for Video Class-incremental Learning
ECCV 2024
Suppress and Rebalance: Towards Generalized Multi-Modal Face Anti-Spoofing
CVPR 2024
Towards Physical World Backdoor Attacks against Skeleton Action Recognition
ECCV 2024
Adapter Incremental Continual Learning of Efficient Audio Spectrogram Transformers
Interspeech 2023
Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal Learning
ICCV 2023
Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less
ICCV 2023
Temporal Coherent Test Time Optimization for Robust Video Classification
ICLR 2023
Low-Light Image Enhancement with Normalizing Flow
AAAI 2022
Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization
NeurIPS 2020
Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation
ECCV 2020