48 citations · 63 across the 11 of their papers we have counts for
12 papers
GMOS: Grounding Moving Object Segmentation in 3D Space and Time
Junyu Xie, Tengda Han, Weidi Xie +1
Moving Object Segmentation (MOS) aims to discover, segment, and track objects that move independently of the camera. Current MOS methods, however, exhibit two fundamental limitatio…
Efficiently Reconstructing Dynamic Scenes One D4RT at a Time
Chuhan Zhang, Guillaume Le Moing, Skanda Koppula +11
Understanding and reconstructing the complex geometry and motion of dynamic scenes from video remains a formidable challenge in computer vision. This paper introduces D4RT, a simpl…
More than a Moment: Towards Coherent Sequences of Audio Descriptions
Eshika Khandelwal, Junyu Xie, Tengda Han +5
Audio Descriptions (ADs) convey essential on-screen information, allowing visually impaired audiences to follow videos. To be effective, ADs must form a coherent sequence that help…
Character-Centric Understanding of Animated Movies
Zhongrui Gui, Junyu Xie, Tengda Han +2
Animated movies are captivating for their unique character designs and imaginative storytelling, yet they pose significant challenges for existing recognition systems. Unlike the c…
Shot-by-Shot: Film-Grammar-Aware Training-Free Audio Description Generation
Junyu Xie, Tengda Han, Max Bain +5
Our objective is the automatic generation of Audio Descriptions (ADs) for edited video material, such as movies and TV series. To achieve this, we propose a two-stage framework tha…
FacaDiffy: Inpainting Unseen Facade Parts Using Diffusion Models
Thomas Froech, Olaf Wysocki, Yan Xia +4
High-detail semantic 3D building models are frequently utilized in robotics, geoinformatics, and computer vision. One key aspect of creating such models is employing 2D conflict ma…
AutoAD-Zero: A Training-Free Framework for Zero-Shot Audio Description
Junyu Xie, Tengda Han, Max Bain +4
Our objective is to generate Audio Descriptions (ADs) for both movies and TV series in a training-free manner. We use the power of off-the-shelf Visual-Language Models (VLMs) and L…
Moving Object Segmentation: All You Need Is SAM (and Flow)
Junyu Xie, Charig Yang, Weidi Xie +1
The objective of this paper is motion segmentation -- discovering and segmenting the moving objects in a video. This is a much studied area with numerous careful, and sometimes com…
SHAP-EDITOR: Instruction-guided Latent 3D Editing in Seconds
Minghao Chen, Junyu Xie, Iro Laina +1
We propose a novel feed-forward 3D editing framework called Shap-Editor. Prior research on editing 3D objects primarily concentrated on editing individual objects by leveraging off…
Appearance-Based Refinement for Object-Centric Motion Segmentation
Junyu Xie, Weidi Xie, Andrew Zisserman
The goal of this paper is to discover, segment, and track independently moving objects in complex visual scenes. Previous approaches have explored the use of optical flow for motio…
Segmenting Moving Objects via an Object-Centric Layered Representation
Junyu Xie, Weidi Xie, Andrew Zisserman
The objective of this paper is a model that is able to discover, track and segment multiple moving objects in a video. We make four contributions: First, we introduce an object-cen…
Low-impedance superconducting microwave resonators for strong coupling to small magnetic mode volumes
Lauren McKenzie-Sell, Junyu Xie, Chang-Min Lee +3
Recent experiments on strongly coupled microwave and ferromagnetic resonance modes have focused on large volume bulk crystals such as yttrium iron garnet, typically of millimeter-s…