11 papers
Vision-aligned Latent Reasoning for Multi-modal Large Language Model
Byungwoo Jeon, Yoonwoo Jeong, Hyunseok Lee +2
Despite recent advancements in Multi-modal Large Language Models (MLLMs) on diverse understanding tasks, these models struggle to solve problems which require extensive multi-step…
MV-SAM: Multi-view Promptable Segmentation using Pointmap Guidance
Yoonwoo Jeong, Cheng Sun, Yu-Chiang Frank Wang +2
Promptable segmentation has emerged as a powerful paradigm in computer vision, enabling users to guide models in parsing complex scenes with prompts such as clicks, boxes, or textu…
DextER: Language-driven Dexterous Grasp Generation with Embodied Reasoning
Junha Lee, Eunha Park, Minsu Cho
Language-driven dexterous grasp generation requires the models to understand task semantics, 3D geometry, and complex hand-object interactions. While vision-language models have be…
Affostruction: 3D Affordance Grounding with Generative Reconstruction
Chunghyun Park, Seunghyeon Lee, Minsu Cho
This paper addresses the problem of affordance grounding from RGBD images of an object, which aims to localize surface regions corresponding to a text query that describes an actio…
Quantile Rendering: Efficiently Embedding High-dimensional Feature on 3D Gaussian Splatting
Yoonwoo Jeong, Cheng Sun, Frank Wang +2
Recent advancements in computer vision have successfully extended Open-vocabulary segmentation (OVS) to the 3D domain by leveraging 3D Gaussian Splatting (3D-GS). Despite this prog…
PanoGrounder: Bridging 2D and 3D with Panoramic Scene Representations for VLM-based 3D Visual Grounding
Seongmin Jung, Seongho Choi, Gunwoo Jeon +2
3D Visual Grounding (3DVG) is a critical bridge from vision-language perception to robotics, requiring both language understanding and 3D scene reasoning. Traditional supervised mo…
Generic Event Boundary Detection via Denoising Diffusion
Jaejun Hwang, Dayoung Gong, Manjin Kim +1
Generic event boundary detection (GEBD) aims to identify natural boundaries in a video, segmenting it into distinct and meaningful chunks. Despite the inherent subjectivity of even…
RoDyGS: Robust Dynamic Gaussian Splatting for Casual Videos
Junmyeong Lee, Hoseung Choi, Yoonwoo Jeong +1
4D reconstruction from casually captured monocular videos is challenging due to inherent ambiguity in reconstructing dynamic 3D geometry. To address this challenge, we introduce Ro…
MVFormer: Diversifying Feature Normalization and Token Mixing for Efficient Vision Transformers
Jongseong Bae, Susang Kim, Minsu Cho +1
Active research is currently underway to enhance the efficiency of vision transformers (ViTs). Most studies have focused solely on effective token mixers, overlooking the potential…
NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image
Yoonwoo Jeong, Jinwoo Lee, Chiheon Kim +2
Transfer learning of large-scale Text-to-Image (T2I) models has recently shown impressive potential for Novel View Synthesis (NVS) of diverse objects from a single image. While pre…
Locality-Aware Generalizable Implicit Neural Representation
Doyup Lee, Chiheon Kim, Minsu Cho +1
Generalizable implicit neural representation (INR) enables a single continuous function, i.e., a coordinate-based neural network, to represent multiple data instances by modulating…