Events

August

September 2023

October
MO
TU
WE
TH
FR
SA
SU
28
29
30
31
1
An Evolution of Learning Neural Implicit Representations for 3D Shapes
11:00 am - 12:00 pm

Speaker:
Professor ZHANG Hao, Richard
Amazon Scholar, Professor
School of Computing Science, Simon Fraser University, Canada

Abstract:

Neural implicit representations are the immediate precursors to neural radiance fields (NeRF). In a short span of only four years, they have quickly become the representation of choice

, ...
2
3
4
5
6
7
8
9
10
11
12
13
Smart Reconfigurable Computing for GNN and Transformer using Agile High Level Synthesis
9:30 am - 10:30 am

Speaker:
Dr. HAO Cong, Callie
Assistant Professor
Department of Electrical and Computer Engineering (ECE), Georgia Institute of Technology (GaTech)

Abstract:

In this talk, we introduce two architectures, one for graph neural work (GNN) called FlowGNN, one for vision transformer (ViT) called Edge-MoE. In FlowGNN, a gene

, ...
14
15
16
17
18
19
20
The da Vinci Research Kit: System Description, Research Highlights, and Surgical Robotics Challenge
4:00 pm - 5:00 pm

Speaker:
Prof. Peter Kazanzides
Research  Professor
Department of Computing Science, Johns Hopkins University

Abstract:

The da Vinci Research Kit (dVRK) is an open research platform that couples open-source control electronics and software with the mechanical components of the da Vinci surgical robot. This presentatio

, ...
21
Towards Scalable, Secure and Privacy-Preserving Metaverse
4:30 pm - 5:30 pm

Speaker:
Prof. DAI Hong-Ning
Associate Professor
Department of Computing Science, Hong Kong Baptist University (HKBU)

Abstract:

The metaverse is essentially constructed by multiple technologies, including virtual reality (VR), augmented reality (AR), mixed reality (MR), artificial intelligence (AI), digital twin (DT),

, ...
22
23
24
25
26
27
Geometric Robot Learning for Generalizable Skills Acquisition
10:00 am - 11:30 am

Speaker:
Prof. Xiaolong Wang
Associate Professor
Department of Electrical and Computer Engineering, University of California, San Diego

Abstract:

Robot learning has witnessed significant progress in terms of generalization in the past few years. At the heart of such a generalization, the advancement of representation l

, ...
Disentangled Representation from Generative Networks
2:00 pm - 3:00 pm

Speaker:
Dr. LIU Sifei

Abstract:

Disentangled representation in computer vision refers to encoding visual data into distinct, independent factors. These representations are critical for enhancing interpretability, improving generalization across tasks, and enabling controlled manipulation of specific visual attributes.

, ...
28
29
30
1