Turning Generative Models Degenerate: The Power of Data Poisoning Attacks

Kavli Affiliate: Yi Zhou | First 5 Authors: Shuli Jiang, Swanand Ravindra Kadhe, Yi Zhou, Farhan Ahmed, Ling Cai | Summary: The increasing use of large language models (LLMs) trained by third parties raises significant security concerns. In particular, malicious actors can introduce backdoors through poisoning attacks to generate undesirable outputs. While such attacks have […]


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Motion and Structure from Event-based Normal Flow

Kavli Affiliate: Yi Zhou | First 5 Authors: Zhongyang Ren, Bangyan Liao, Delei Kong, Jinghang Li, Peidong Liu | Summary: Recovering the camera motion and scene geometry from visual data is a fundamental problem in the field of computer vision. Its success in standard vision is attributed to the maturity of feature extraction, data association […]


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OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal Models

Kavli Affiliate: Zheng Zhu | First 5 Authors: Zijian Zhou, Zheng Zhu, Holger Caesar, Miaojing Shi, | Summary: Panoptic Scene Graph Generation (PSG) aims to segment objects and recognize their relations, enabling the structured understanding of an image. Previous methods focus on predicting predefined object and relation categories, hence limiting their applications in the open […]


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Transformer-based Drum-level Prediction in a Boiler Plant with Delayed Relations among Multivariates

Kavli Affiliate: Gang Su | First 5 Authors: Gang Su, Sun Yang, Zhishuai Li, , | Summary: The steam drum water level is a critical parameter that directly impacts the safety and efficiency of power plant operations. However, predicting the drum water level in boilers is challenging due to complex non-linear process dynamics originating from […]


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Event-Aided Time-to-Collision Estimation for Autonomous Driving

Kavli Affiliate: Yi Zhou | First 5 Authors: Jinghang Li, Bangyan Liao, Xiuyuan LU, Peidong Liu, Shaojie Shen | Summary: Predicting a potential collision with leading vehicles is an essential functionality of any autonomous/assisted driving system. One bottleneck of existing vision-based solutions is that their updating rate is limited to the frame rate of standard […]


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Optimization of noncollinear magnetic ordering temperature in Y-type hexaferrite by machine learning

Kavli Affiliate: Long Zhang | First 5 Authors: Yonghong Li, Jing Zhang, Linfeng Jiang, Long Zhang, Yugang Zhang | Summary: Searching the optimal doping compositions of the Y-type hexaferrite Ba2Mg2Fe12O22 remains a long-standing challenge for enhanced non-collinear magnetic transition temperature (TNC). Instead of the conventional trial-and-error approach, the composition-property descriptor is established via a data […]


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Stochastic Traveling Salesperson Problem with Neighborhoods for Object Detection

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Minghan Wei, Volkan Isler, , | Summary: We introduce a new route-finding problem which considers perception and travel costs simultaneously. Specifically, we consider the problem of finding the shortest tour such that all objects of interest can be detected successfully. To represent a viable detection […]


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Multi-Time Scale Service Caching and Pricing in MEC Systems with Dynamic Program Popularity

Kavli Affiliate: Bo Gu | First 5 Authors: Yiming Chen, Xingyuan Hu, Bo Gu, Shimin Gong, Zhou Su | Summary: In mobile edge computing systems, base stations (BSs) equipped with edge servers can provide computing services to users to reduce their task execution time. However, there is always a conflict of interest between the BS […]


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BeNeRF: Neural Radiance Fields from a Single Blurry Image and Event Stream

Kavli Affiliate: Yi Zhou | First 5 Authors: Wenpu Li, Pian Wan, Peng Wang, Jinghang Li, Yi Zhou | Summary: Neural implicit representation of visual scenes has attracted a lot of attention in recent research of computer vision and graphics. Most prior methods focus on how to reconstruct 3D scene representation from a set of […]


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