68 citations · 109 across the 20 of their papers we have counts for
17 papers · 1 filter
Class Prototypes based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos
Rohit Gupta, Anirban Roy, Claire Christensen +6
The recent growth in the consumption of online media by children during early childhood necessitates data-driven tools enabling educators to filter out appropriate educational cont…
Ensemble Modeling for Multimodal Visual Action Recognition
Jyoti Kini, Sarah Fleischer, Ishan Dave +1
In this work, we propose an ensemble modeling approach for multimodal action recognition. We independently train individual modality models using a variant of focal loss tailored t…
CDFSL-V: Cross-Domain Few-Shot Learning for Videos
Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan +1
Few-shot video action recognition is an effective approach to recognizing new categories with only a few labeled examples, thereby reducing the challenges associated with collectin…
Preserving Modality Structure Improves Multi-Modal Learning
Swetha Sirnam, Mamshad Nayeem Rizve, Nina Shvetsova +2
Self-supervised learning on large-scale multi-modal datasets allows learning semantically meaningful embeddings in a joint multi-modal representation space without relying on human…
TeD-SPAD: Temporal Distinctiveness for Self-supervised Privacy-preservation for video Anomaly Detection
Joseph Fioresi, Ishan Rajendrakumar Dave, Mubarak Shah
Video anomaly detection (VAD) without human monitoring is a complex computer vision task that can have a positive impact on society if implemented successfully. While recent advanc…
Reverse Stable Diffusion: What prompt was used to generate this image?
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu +1
Text-to-image diffusion models have recently attracted the interest of many researchers, and inverting the diffusion process can play an important role in better understanding the…