23 citations · 47 across the 27 of their papers we have counts for
4 papers · 1 filter
PORA: Learning When More Reasoning Pays Off for LLM Agents
Bo Yan, Qi Zhang, Zhen Tan +2
LLM agents perform tasks over multiple steps and revise their actions based on feedback. As the total reasoning budget is often limited and must support future steps, the agent mus…
Feed-Forward Multi-View Feature Coding for 3D Gaussian Splatting
Seungmi Choi, Ji-Hyoun Choi, Suhyun Jo +2
Feed-forward 3D Gaussian Splatting (3DGS) methods enable efficient reconstruction of 3D scenes from sparse multi-view images in a single forward pass, without scene-specific optimi…
LiFT: Loop Flow Transformers
Mohammad Mahdi Derakhshani, Pedro M. P. Curvo, Gertjan J. Burghouts +2
We introduce Loop Flow Transformers (LiFT), a family of looped generative models that scales computation by repeatedly applying a shared Diffusion Transformer (DiT) core, with only…
OASIC: Occlusion-Agnostic and Severity-Informed Classification
Kay Gijzen, Gertjan J. Burghouts, Daniël M. Pelt
Severe occlusions of objects pose a major challenge for computer vision. We show that two root causes are (1) the loss of visible information and (2) the distracting patterns cause…