Concerns with enabling computers to interpret and understand visual inputs, such as images and videos.
The article discusses UltraLiDAR, a system designed to address the issues of sparse point clouds captured by low-beam LiDAR. This data-driven framework is used for scene-level LiDAR completion, generation, and…
Continue readingThe article discusses the development of a new method for detecting deepfakes, known as FACTOR. Traditional methods struggle with detecting new, unseen types of deepfake attacks. FACTOR, however, uses fact…
Continue readingThis research presents PromptAlign, an innovative approach to enhance the effectiveness of vision-language models such as CLIP for zero-shot generalization tasks. Unlike previous methods, PromptAlign addresses the issue of distribution…
Continue readingThe article discusses a new approach for generative modeling based on training a neural network to be idempotent. The idempotent operator can be applied sequentially without changing the outcome beyond…
Continue readingThe study investigates the potential of transferring ‘complementary’ knowledge from one pretrained model to another without performance degradation. This task is complex as additional knowledge can be contained in stronger,…
Continue readingThe article focuses on the issue of adversarial attacks in machine learning, particularly transfer attacks. The authors argue that traditional white-box threat models are unrealistic and introduce a new practical…
Continue readingThe research paper investigates the possibility of transferring ‘complementary’ knowledge between any arbitrary pairing of pretrained models, without any performance degradation. The authors found that each model learns unique feature…
Continue readingThe paper introduces a method for Temporal Sentence Grounding (TSG) in long-form egocentric datasets such as Ego4D and EPIC-Kitchens. The method, known as Clip Merging (Cli Mer), learns to ground…
Continue readingThis paper examines the influence of detect-and-remove defenses, ILP and LGS, on optical flow methods. Adversarial patches, placed in arbitrary scene locations, can undermine the reliability of optical flow predictions….
Continue readingThe research introduces a novel approach in circuit design by using artificial intelligence technologies. The most time-consuming parts of the physical design process are placement and routing. This research proposes…
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