1 citations · 1 across the 8 of their papers we have counts for
9 papers
WorldRoPE: Probabilistic World-Centric Rotary Embedding for Multi-View Attention
Mijeong Kim, Kyujin Lim, Bohyung Han
Rotary Positional Embedding (RoPE) is widely used to encode relative positions in Transformers. In multi-view settings, however, patch coordinates are defined independently in each…
GP-4DGS: Probabilistic 4D Gaussian Splatting from Monocular Video via Variational Gaussian Processes
Mijeong Kim, Jungtaek Kim, Bohyung Han
We present GP-4DGS, a novel framework that integrates Gaussian Processes (GPs) into 4D Gaussian Splatting (4DGS) for principled probabilistic modeling of dynamic scenes. While exis…
Pri4R: Learning World Dynamics for Vision-Language-Action Models with Privileged 4D Representation
Jisoo Kim, Jungbin Cho, Sanghyeok Chu +9
Humans learn not only how their bodies move, but also how the surrounding world responds to their actions. In contrast, while recent Vision-Language-Action (VLA) models exhibit imp…
Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning
Taehoon Kim, Donghwan Jang, Bohyung Han
We present a novel training approach, named Merge-and-Bound (M&B) for Class Incremental Learning (CIL), which directly manipulates model weights in the parameter space for optimiza…
Map the Flow: Revealing Hidden Pathways of Information in VideoLLMs
Minji Kim, Taekyung Kim, Bohyung Han
Video Large Language Models (VideoLLMs) extend the capabilities of vision-language models to spatiotemporal inputs, enabling tasks such as video question answering (VideoQA). Despi…
PhysGaia: A Physics-Aware Benchmark with Multi-Body Interactions for Dynamic Novel View Synthesis
Mijeong Kim, Gunhee Kim, Jungyoon Choi +2
We introduce PhysGaia, a novel physics-aware benchmark for Dynamic Novel View Synthesis (DyNVS) that encompasses both structured objects and unstructured physical phenomena. While…
4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization
Mijeong Kim, Jongwoo Lim, Bohyung Han
Novel view synthesis of dynamic scenes is becoming important in various applications, including augmented and virtual reality. We propose a novel 4D Gaussian Splatting (4DGS) algor…
Leveraging Temporal Contextualization for Video Action Recognition
Minji Kim, Dongyoon Han, Taekyung Kim +1
We propose a novel framework for video understanding, called Temporally Contextualized CLIP (TC-CLIP), which leverages essential temporal information through global interactions in…
Generative Neural Fields by Mixtures of Neural Implicit Functions
Tackgeun You, Mijeong Kim, Jungtaek Kim +1
We propose a novel approach to learning the generative neural fields represented by linear combinations of implicit basis networks. Our algorithm learns basis networks in the form…