8 citations · 19 across the 10 of their papers we have counts for
19 papers
Enhancing Weakly-Supervised Object Detection on Static Images through (Hallucinated) Motion
Cagri Gungor, Adriana Kovashka
While motion has garnered attention in various tasks, its potential as a modality for weakly-supervised object detection (WSOD) in static images remains unexplored. Our study intro…
Integrating Audio Narrations to Strengthen Domain Generalization in Multimodal First-Person Action Recognition
Cagri Gungor, Adriana Kovashka
First-person activity recognition is rapidly growing due to the widespread use of wearable cameras but faces challenges from domain shifts across different environments, such as va…
Contrastive View Design Strategies to Enhance Robustness to Domain Shifts in Downstream Object Detection
Kyle Buettner, Adriana Kovashka
Contrastive learning has emerged as a competitive pretraining method for object detection. Despite this progress, there has been minimal investigation into the robustness of contra…
Weakly-Supervised Action Detection Guided by Audio Narration
Keren Ye, Adriana Kovashka
Videos are more well-organized curated data sources for visual concept learning than images. Unlike the 2-dimensional images which only involve the spatial information, the additio…
Linguistic Structures as Weak Supervision for Visual Scene Graph Generation
Keren Ye, Adriana Kovashka
Prior work in scene graph generation requires categorical supervision at the level of triplets - subjects and objects, and predicates that relate them, either with or without bound…
BasisNet: Two-stage Model Synthesis for Efficient Inference
Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov +6
In this work, we present BasisNet which combines recent advancements in efficient neural network architectures, conditional computation, and early termination in a simple new form.…