This paper explains how to utilize large-scale pre-trained vision language models (CLIP) for long-term action detection in videos.
This paper shows that jointly optimizing Vision Transformers for the primary task and a Self-Supervised Auxiliary Task is surprisingly beneficial when the amount of training data is limited.
Dominick Reilly is awarded The Chateaubriand Fellowship and will be interning at Inria Sophia Antipolis, France.
🎃 Happy Halloween! We hosted a Trick or Research event at CharMLab. A spooky afternoon of research and fun, and with treats! 🎃
The BMI workshop is a 4-day conference focusing on research in brain signal analysis and Human-Machine Interface. Dr. Zhang gave an invited talk entitled 'Self-Supervised Contrastive Learning For EEG-Based Neurological Disorder Detection' on Oct. 1st 2023.
Congratulations to Drs. Kümmerle and Zhang, along with the first authored students Yihe Wang and Yu Han!
CHARLOTTE, NC - The University of North Carolina at Charlotte has announced the formation of a cutting-edge Machine Learning Lab within the Department of Computer Science. This new lab, comprising six Principal Investigators (PIs) and more than a dozen PhDs, aims to be a nexus for innovation and research in the rapidly evolving field of artificial intelligence (AI).
IEEE International Conference on Pervasive Computing and Communications (PerCom) is a flagship conference in pervasive computing. The average acceptance rate in the last 5 years is 16.3%.