Visual Data Computing Group (VisDom)

*About the Group*: Our group tackles diverse challenges in the realm of computer vision(CV), deep learning(DL), and machine learning(ML). We continuously innovate at the intersection of these fields, driving progress and creating impactful solutions that shape the future. Some of the active areas of research include: Transfer learning (Domain adaptation, Incremental learning) Fairness and bias-free learning Uncertainty in deep learning (Bayesian models) Data generative models (GANs, VAEs, and Diffusion models) Efficient deep learning ( Binary neural networks, Active learning) 3D reconstructions, augmented reality (AR), and virtual reality (VR). Some other areas of interested in multimodal learning, speech and audio processing and medical machine learning.