3 accepted papers
The scalability of Large Language Models (LLMs) to long contexts is fundamentally constrained by the quadratic complexity of standard attention, motivating the adoption of linear attention mechanisms with sub-quadratic cost. To improve representation capacity under long contexts, recent approaches o…
An important paradigm in 3D object detection is the use of multiple modalities to enhance accuracy in both normal and challenging conditions, particularly for long-tail scenarios. To address this, recent studies have explored two directions of adaptive approaches: MoE-based adaptive fusion, which st…
Collaborative Perception enables multiple agents, such as autonomous vehicles and infrastructure, to share sensor data via vehicular networks so that each agent gains an extended sensing range and better perception quality. Despite its promising benefits, realizing the full potential of such systems