4 papers
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…
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…
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…
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…