1 code implementation • 7 Jul 2023 • Zahid Hasan, Abu Zaher Md Faridee, Masud Ahmed, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy
As an alternative to the traditional pseudo-labeling-based approaches, we leverage the connection between the data sampling and the provided multinoulli (categorical) distribution of novel classes.
no code implementations • 3 May 2023 • Maloy Kumar Devnath, Avijoy Chakma, Mohammad Saeid Anwar, Emon Dey, Zahid Hasan, Marc Conn, Biplab Pal, Nirmalya Roy
Image and video data are light and weather-dependent, susceptible to the occlusion effect, and present privacy problems.
1 code implementation • 14 Apr 2023 • Zahid Hasan, Masud Ahmed, Abu Zaher Md Faridee, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy
During our experiments with UCF101 and multi-view action dataset, NEV-NCD achieves ~ 83% classification accuracy in test instances of labeled data.
1 code implementation • 13 Aug 2022 • Zahid Hasan, Emon Dey, Sreenivasan Ramasamy Ramamurthy, Nirmalya Roy, Archan Misra
In this demo paper, we design and prototype RhythmEdge, a low-cost, deep-learning-based contact-less system for regular HR monitoring applications.
no code implementations • 21 Feb 2022 • Ismot Sadik Peyas, Zahid Hasan, Md. Rafat Rahman Tushar, Al Musabbir, Raisa Mehjabin Azni, Shahnewaz Siddique
In warehouses, specialized agents need to navigate, avoid obstacles and maximize the use of space in the warehouse environment.
no code implementations • 25 Oct 2021 • Ifrah Idrees, Zahid Hasan, Steven P. Reiss, Stefanie Tellex
Robots equipped with situational awareness can help humans efficiently find their lost objects by leveraging spatial and temporal structure.