Carol O’Sullivan – ACM SIGGRAPH HISTORY ARCHIVES

Carol O’Sullivan


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About Carol O’Sullivan

Affiliations
Trinity College Dublin, Associate Professor
Graphics Vision and Visualisation Group
Bio

SIGGRAPH Asia 2010

Carol O’Sullivan is an associate professor at Trinity College Dublin, where she leads the Graphics/Vision Group (GV2). Her research interests include perception, animation, virtual humans, and crowds. She has presented at many international professional conferences, including Eurographics and SIGGRAPH, and has published over 100 peer-reviewed papers. She co-chaired Eurographics’05 and the SIGGRAPH/EG Symposium on Computer Animation SCA’06, and she was the program co-chair of the SIGGRAPH Symposium on Applied Perception in Graphics and Visualization APGV’09. She is the co-editor in chief of ACM Transactions on Applied Perception and an associate editor in chief of IEEE CG&A.

SIGGRAPH 2009

Carol O’Sullivan is an Associate Professor at Trinity College Dublin. Her research interests include perception, animation, virtual humans and crowds. She has been a member of many IPCs, including the Eurographics and SIGGRAPH papers committee and has published over 100 papers in graphics, especially animation and perception. She is the programme co-chair of the SIGGRAPH Symposium on Applied Perception in Graphics and Visualization 2009, co-Editor in Chief of ACM Transactions on Applied Perception and an editorial board member of IEEE Computer Graphics & Applications. Amongst other conferences, she co-chaired Eurographics’05 in Dublin and SCA’06: Symposium on Computer Animation in Vienna.


SIGGRAPH Conference Organizing Committee Positions


Conference Contributions

Presentations
Sessions Moderated
“Simulation and Retargeting of Complex Multi-Character Interactions” by Zhang, Gopinath, Ye, Hodgins, Turk, et al. …
“GREIL-Crowds: Crowd Simulation with Deep Reinforcement Learning and Examples” by Charalambous, Pettre, Vassiliades, Chrysanthou and Pelechano
“Generating Activity Snippets by Learning Human-Scene Interactions” by Li and Yu
“Synthesizing Physical Character-Scene Interactions” by Hassan, Guo, Wang, Black, Fidler, et al. …
“PMP: Learning to Physically Interact with Environments using Part-wise Motion Priors” by Won, Lim, Min and Kim
“QuestEnvSim: Environment-Aware Simulated Motion Tracking from Sparse Sensors” by Lee, Starke, Ye, Won and Winkler
“Interactive character animation by learning multi-objective control”
“Learning to dress: synthesizing human dressing motion via deep reinforcement learning”
“SFV: reinforcement learning of physical skills from videos”
“2PAC: Two Point Attractors for Center Of Mass Trajectories in Multi Contact Scenarios”

Other Information


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