Mamshad Nayeem Rizve
19 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
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Conferences
CVPR (6)
ECCV (6)
ICCV (4)
ICLR (2)
WACV (1)
Top co-authors
Keywords
knowledge distillation
(3)
self-supervised learning
(2)
model compression
(2)
domain generalization
(2)
semi-supervised learning
(2)
cross-modal retrieval
(2)
curriculum learning
(1)
metric learning
(1)
unsupervised learning
(1)
temporal modeling
(1)
action recognition
(1)
domain adaptation
(1)
contrastive learning
(1)
noisy label learning
(1)
source-free domain adaptation
(1)
few-shot learning
(1)
vision transformer
(1)
multi-modal learning
(1)
video understanding
(1)
representation learning
(1)
Papers
Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains
WACV 2026
DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge
CVPR 2025
CompSlider: Compositional Slider for Disentangled Multiple-Attribute Image Generation
ICCV 2025
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition
ECCV 2024
VidLA: Video-Language Alignment at Scale
CVPR 2024
X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs
ECCV 2024
Open Vocabulary Multi-Label Video Classification
ECCV 2024
GAReT: Cross-view Video Geolocalization with Adapters and Auto-Regressive Transformers
ECCV 2024
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video
ICLR 2024
PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization
CVPR 2023
CDFSL-V: Cross-Domain Few-Shot Learning for Videos
ICCV 2023
Preserving Modality Structure Improves Multi-Modal Learning
ICCV 2023
SSDA: Secure Source-Free Domain Adaptation
ICCV 2023
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition
CVPR 2023
Towards Realistic Semi-Supervised Learning
ECCV 2022
UniCon: Combating Label Noise Through Uniform Selection and Contrastive Learning
CVPR 2022
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning
ECCV 2022
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
ICLR 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
CVPR 2021