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Events for May
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PhD Thesis Proposal - Rajrup Ghosh
Fri, May 02, 2025 @ 08:30 AM - 10:00 AM
Thomas Lord Department of Computer Science
University Calendar
Title of Thesis Proposal: Enabling Volumetric Video Conferencing and Live Streaming
Date and Time: May 2 2025 (Monday), 8:30 am - 10:00 am PST
Location: 202C, GCS, Floor 2
Committee Members: Ramesh Govindan (Chair), Barath Raghavan, Yue Wang, Harsha V. Madhyastha, Antonio Ortega
Abstract: Volumetric video streaming represents the next frontier in media communication, enabling highly immersive experiences by capturing and transmitting dynamic 3D scenes in real-time. However, significant challenges remain before widespread adoption is possible, including managing substantial bandwidth demands, achieving low-latency, supporting multi-party interactions, and maintaining high visual realism. This thesis explores novel methods to overcome these barriers. To enable immersive two-party conferencing, I introduce LiVo, a system that efficiently streams full-scene volumetric videos by extending 2D video encoding techniques, adaptive bandwidth allocation, and real-time view prediction and culling. LiVo significantly reduces bandwidth usage while maintaining an end-to-end latency of approximately 250 ms at 30 frames per second. Extending these capabilities to multi-party scenarios, I propose LiVo++, which must address challenges in synchronization, computation overhead, and changing network conditions. It proposes dynamic strategies to adapt video quality levels according to participants' device capabilities and available bandwidth, enabling robust and scalable interactive experiences. Finally, I propose to improve visual quality through LiVoGS, a system leveraging Gaussian Splatting. LiVoGS will explore integrating Gaussian Splatting with motion-compensated encoding inspired by traditional 2D codecs, to achieve photorealistic visual quality and significantly improved bandwidth efficiency. Collectively, these innovations enable practical, efficient, and visually realistic volumetric video conferencing and streaming, paving the way toward the future of immersive multimedia communication.
Zoom Link: https://usc.zoom.us/j/92046695163?pwd=PcSYsbDor5695TXOC9en6H6ByMPwbW.1Location: Ginsburg Hall (GCS) - 202C
Audiences: Everyone Is Invited
Contact: Rajrup Ghosh
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
PhD Dissertation Defense - Bingjie Tang
Mon, May 05, 2025 @ 11:00 AM - 01:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: From simulation to reality: advancing policy learning for fine-grained manipulation
Date/Time: 05/05/2025 - 11am-1pm.
Venue: 302C in GCS Floor 3
Names of the Dissertation Defense Committee Members:
Gaurav Sukhatme
Jesse Thomason
Erdem Biyik
Feifei Qian
Yashraj Narang
Abstract: Fine-grained manipulation broadly refers to the capability of robots to handle and manipulate objects with high precision, adaptability and robustness. It remains a long-standing challenge in robotics as it includes high-dimensional control, contact-rich dynamics, and robustness towards environment uncertainty. Simulation is a powerful computational tool that has been used for decades to test and optimize safety-critical designs and algorithms in multiple industries. We discuss how we can leverage simulation to enable fast and effective policy learning for fine-grained manipulation and robust transfer to real-world deployment.Location: Ginsburg Hall (GCS) - 302C
Audiences: Everyone Is Invited
Contact: Bingjie Tang
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
PhD Dissertation Defense - Sasha Volokh
Tue, May 06, 2025 @ 10:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
University Calendar
Dissertation Title: Using Program Analysis to Determine Actions for Video Game Testing
Date/Time: Tuesday, May 6th, 10:00am-12:00pm
Location: Ginsburg Hall (GCS) - 402C - 4th Floor
Committee: William G.J. Halfond (chair), Nenad Medvidovic, Chao Wang, Mukund Raghothaman, Andrew Nealen
Abstract: In the competitive video game market, the quality of games released to consumers is crucial to their success. However, modern games often release with significant bugs, causing consumer dissatisfaction and a loss of business and reputation for the companies involved. Testing is a key mechanism by which such issues can be caught and addressed during the development process. Many testing approaches require a model of the game rules, which is not available by default for games built with typical game development practices. This poses a barrier to the adoption of more advanced testing techniques, requiring either an expert to model the game or a reliance upon imprecise generic models. At a minimum, knowledge of the possible player actions is crucial for thorough manual and automated testing, but determining a precise and complete model of the game actions is challenging for games built with typical game development practices. In my dissertation, I address these challenges through novel program analysis techniques capable of determining precise and complete models of the game actions. To demonstrate the effectiveness of the proposed techniques, I adapted them to specify the action spaces of automated game testing agents, as well as to generate instructions for assisting human testers. The results show that the action models determined via program analysis enable effective automated testing agent performance and are also capable of improving the exploratory testing performance of human testers.Location: Ginsburg Hall (GCS) - 402C
Audiences: Everyone Is Invited
Contact: Sasha Volokh
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
