🏢 Korea University

Researchers boost long-form video understanding efficiency by 6.89x and reduce memory usage by 84% using a novel learnable video token merging algorithm.

Unified Domain Generalization and Adaptation (UDGA) tackles 3D object detection’s domain adaptation challenges by leveraging multi-view overlap and label-efficient learning, achieving state-of-the-art…

Boosting 3D human pose estimation: Biomechanical Pose Generator and Binary Depth Coordinates enhance accuracy and scalability.

ROIDICE: A novel offline reinforcement learning algorithm maximizes Return on Investment (ROI) by formulating the problem as linear fractional programming, yielding superior return-cost trade-offs.

LLaMo, a novel Large Language Model-based Molecular Graph Assistant, uses multi-level graph projection and instruction tuning to achieve superior performance on diverse molecular tasks.

Boost 3D object detection accuracy by augmenting pseudo-LiDAR point clouds!

InvBO: Inversion-based Latent Bayesian Optimization solves the misalignment problem in LBO, boosting optimization accuracy and efficiency.

Constant Acceleration Flow (CAF) drastically accelerates image generation in diffusion models by leveraging a constant acceleration equation, outperforming state-of-the-art methods in both speed and q…