13 papers
Seen-to-Scene: Keep the Seen, Generate the Unseen for Video Outpainting
Inseok Jeon, Minhyeok Lee, Seunghoon Lee +3
Video outpainting aims to expand the visible content of a video beyond the original frame boundaries while preserving spatial fidelity and temporal coherence across frames. Existin…
CMTM: Cross-Modal Token Modulation for Unsupervised Video Object Segmentation
Inseok Jeon, Suhwan Cho, Minhyeok Lee +6
Recent advances in unsupervised video object segmentation have highlighted the potential of two-stream architectures that integrate appearance and motion cues. However, fully lever…
STATIC : Surface Temporal Affine for TIme Consistency in Video Monocular Depth Estimation
Sunghun Yang, Minhyeok Lee, Suhwan Cho +2
Video monocular depth estimation is essential for applications such as autonomous driving, AR/VR, and robotics. Recent transformer-based single-image monocular depth estimation mod…
DepthFlow: Exploiting Depth-Flow Structural Correlations for Unsupervised Video Object Segmentation
Suhwan Cho, Minhyeok Lee, Jungho Lee +2
Unsupervised video object segmentation (VOS) aims to detect the most prominent object in a video. Recently, two-stream approaches that leverage both RGB images and optical flow hav…
TransFlow: Motion Knowledge Transfer from Video Diffusion Models to Video Salient Object Detection
Suhwan Cho, Minhyeok Lee, Jungho Lee +2
Video salient object detection (SOD) relies on motion cues to distinguish salient objects from backgrounds, but training such models is limited by scarce video datasets compared to…
Find First, Track Next: Decoupling Identification and Propagation in Referring Video Object Segmentation
Suhwan Cho, Seunghoon Lee, Minhyeok Lee +2
Referring video object segmentation aims to segment and track a target object in a video using a natural language prompt. Existing methods typically fuse visual and textual feature…