1 citations · 2 across the 6 of their papers we have counts for
6 papers · 1 filter
Point4D: Long-range 4D Motion Reconstruction
Minsik Jeon, Jay Karhade, Deva Ramanan +1
We introduce Point4D, a feed-forward model for 4D reconstruction of long-range video sequences. Point4D is able to reliably infer dense per-point 3D trajectories across multi-hundr…
FrameCrafter: Novel View Synthesis as Video Completion
Qi Wu, Khiem Vuong, Minsik Jeon +2
We tackle the problem of sparse novel view synthesis (NVS) using video diffusion models; given () multi-view images of a scene and their camera poses, we predict the…
Flow3r: Factored Flow Prediction for Scalable Visual Geometry Learning
Zhongxiao Cong, Qitao Zhao, Minsik Jeon +1
Current feed-forward 3D/4D reconstruction systems rely on dense geometry and pose supervision -- expensive to obtain at scale and particularly scarce for dynamic real-world scenes.…
RayRoPE: Projective Ray Positional Encoding for Multi-view Attention
Yu Wu, Minsik Jeon, Jen-Hao Rick Chang +2
We study positional encodings for multi-view transformers that process tokens from a set of posed input images, and seek a mechanism that encodes patches uniquely, allows SE(3)-inv…
OW-Rep: Open World Object Detection with Instance Representation Learning
Sunoh Lee, Minsik Jeon, Jihong Min +1
Open World Object Detection(OWOD) addresses realistic scenarios where unseen object classes emerge, enabling detectors trained on known classes to detect unknown objects and increm…
DA-RAW: Domain Adaptive Object Detection for Real-World Adverse Weather Conditions
Minsik Jeon, Junwon Seo, Jihong Min
Despite the success of deep learning-based object detection methods in recent years, it is still challenging to make the object detector reliable in adverse weather conditions such…