20 citations · 24 across the 7 of their papers we have counts for
5 papers · 1 filter
Few-shot adaptation for morphology-independent cell instance segmentation
Ram J. Zaveri, Voke Brume, Gianfranco Doretto
Microscopy data collections are becoming larger and more frequent. Accurate and precise quantitative analysis tools like cell instance segmentation are necessary to benefit from th…
ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection
Thinh Phan, Khoa Vo, Duy Le +3
Temporal action detection (TAD) involves the localization and classification of action instances within untrimmed videos. While standard TAD follows fully supervised learning with…
Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation
Kashu Yamazaki, Taisei Hanyu, Khoa Vo +5
Precise 3D environmental mapping is pivotal in robotics. Existing methods often rely on predefined concepts during training or are time-intensive when generating semantic maps. Thi…
A Robust Likelihood Model for Novelty Detection
Ranya Almohsen, Shivang Patel, Donald A. Adjeroh +1
Current approaches to novelty or anomaly detection are based on deep neural networks. Despite their effectiveness, neural networks are also vulnerable to imperceptible deformations…
Self-supervised Interest Point Detection and Description for Fisheye and Perspective Images
Marcela Mera-Trujillo, Shivang Patel, Yu Gu +1
Keypoint detection and matching is a fundamental task in many computer vision problems, from shape reconstruction, to structure from motion, to AR/VR applications and robotics. It…