Mamshad Nayeem Rizve

Orcid: 0000-0001-5378-1697

According to our database1, Mamshad Nayeem Rizve authored at least 20 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs.
Proceedings of the Computer Vision - ECCV 2024, 2024

GAReT: Cross-View Video Geolocalization with Adapters and Auto-Regressive Transformers.
Proceedings of the Computer Vision - ECCV 2024, 2024

Open Vocabulary Multi-label Video Classification.
Proceedings of the Computer Vision - ECCV 2024, 2024

FinePseudo: Improving Pseudo-labelling Through Temporal-Alignablity for Semi-supervised Fine-Grained Action Recognition.
Proceedings of the Computer Vision - ECCV 2024, 2024

VidLA: Video-Language Alignment at Scale.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Preserving Modality Structure Improves Multi-Modal Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CDFSL-V: Cross-Domain Few-Shot Learning for Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SSDA: Secure Source-Free Domain Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
TCLR: Temporal contrastive learning for video representation.
Comput. Vis. Image Underst., 2022

Towards Realistic Semi-supervised Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Surveillance Videos.
CoRR, 2020

Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Security Videos.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
An Online System for Real-Time Activity Detection in Untrimmed Surveillance Videos.
Proceedings of the 2019 TREC Video Retrieval Evaluation, 2019


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