986 citations · 1.2k across the 23 of their papers we have counts for
31 papers
Novel Categories Discovery Via Constraints on Empirical Prediction Statistics
Zahid Hasan, Abu Zaher Md Faridee, Masud Ahmed +4
Novel Categories Discovery (NCD) aims to cluster novel data based on the class semantics of known classes using the open-world partial class space annotated dataset. As an alternat…
NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discovery
Zahid Hasan, Masud Ahmed, Abu Zaher Md Faridee +4
Novel Categories Discovery (NCD) facilitates learning from a partially annotated label space and enables deep learning (DL) models to operate in an open-world setting by identifyin…
Progressive Transformation Learning for Leveraging Virtual Images in Training
Yi-Ting Shen, Hyungtae Lee, Heesung Kwon +1
To effectively interrogate UAV-based images for detecting objects of interest, such as humans, it is essential to acquire large-scale UAV-based datasets that include human instance…
Archangel: A Hybrid UAV-based Human Detection Benchmark with Position and Pose Metadata
Yi-Ting Shen, Yaesop Lee, Heesung Kwon +7
Learning to detect objects, such as humans, in imagery captured by an unmanned aerial vehicle (UAV) usually suffers from tremendous variations caused by the UAV's position towards…
Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification
Hyungtae Lee, Sungmin Eum, Heesung Kwon
We present a Momentum Re-identification (MoReID) framework that can leverage a very large number of negative samples in training for general re-identification task. The design of t…
A Multi-purpose Realistic Haze Benchmark with Quantifiable Haze Levels and Ground Truth
Priya Narayanan, Xin Hu, Zhenyu Wu +9
Imagery collected from outdoor visual environments is often degraded due to the presence of dense smoke or haze. A key challenge for research in scene understanding in these degrad…