6 citations · 8 across the 10 of their papers we have counts for
11 papers · 1 filter
Learning to Solve Generative ODEs Beyond the Linear Span
Sihyeon Kim, Seunghun Lee, Vikas Singh +1
Diffusion and flow generative models sample by integrating a learned ODE, but high quality still requires many sequential model evaluations. Solver learning reduces this cost by ad…
SD-GRPO: Verifiable Segment Decomposition for Long-Form Vision-Language Generation
Hyunwoong Kim, Seongeun Lee, Hannah Yun +2
Group Relative Policy Optimization (GRPO) and its variants, originally developed for Large Language Models (LLMs), have recently been applied to Multimodal LLMs and produced strong…
TabFlash: Efficient Table Understanding with Progressive Question Conditioning and Token Focusing
Jongha Kim, Minseong Bae, Sanghyeok Lee +2
Table images present unique challenges for effective and efficient understanding due to the need for question-specific focus and the presence of redundant background regions. Exist…
Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization
Jihwan Park, Taehoon Song, Sanghyeok Lee +2
Vision-Language Models (VLMs) have been widely used in various visual recognition tasks due to their remarkable generalization capabilities. As these models grow in size and comple…
Representation Shift: Unifying Token Compression with FlashAttention
Joonmyung Choi, Sanghyeok Lee, Byungoh Ko +3
Transformers have demonstrated remarkable success across vision, language, and video. Yet, increasing task complexity has led to larger models and more tokens, raising the quadrati…
Efficient multi-view training for 3D Gaussian Splatting
Minhyuk Choi, Injae Kim, Hyunwoo J. Kim
3D Gaussian Splatting (3DGS) has emerged as a preferred choice alongside Neural Radiance Fields (NeRF) in inverse rendering due to its superior rendering speed. Currently, the comm…
EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality
Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim
For the deployment of neural networks in resource-constrained environments, prior works have built lightweight architectures with convolution and attention for capturing local and…
Robust Multimodal 3D Object Detection via Modality-Agnostic Decoding and Proximity-based Modality Ensemble
Juhan Cha, Minseok Joo, Jihwan Park +3
Recent advancements in 3D object detection have benefited from multi-modal information from the multi-view cameras and LiDAR sensors. However, the inherent disparities between the…
Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers
Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim
Vision Transformer (ViT) has emerged as a prominent backbone for computer vision. For more efficient ViTs, recent works lessen the quadratic cost of the self-attention layer by pru…
vid-TLDR: Training Free Token merging for Light-weight Video Transformer
Joonmyung Choi, Sanghyeok Lee, Jaewon Chu +2
Video Transformers have become the prevalent solution for various video downstream tasks with superior expressive power and flexibility. However, these video transformers suffer fr…
UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields
Injae Kim, Minhyuk Choi, Hyunwoo J. Kim
Neural Radiance Field (NeRF) has enabled novel view synthesis with high fidelity given images and camera poses. Subsequent works even succeeded in eliminating the necessity of pose…