6 papers
Training-Free Spatio-temporal Decoupled Reasoning Video Segmentation with Adaptive Object Memory
Zhengtong Zhu, Jiaqing Fan, Zhixuan Liu +1
Reasoning Video Object Segmentation (ReasonVOS) is a challenging task that requires stable object segmentation across video sequences using implicit and complex textual inputs. Pre…
TokenDial: Continuous Attribute Control for Text-to-Video Generation in Visual Dial Space
Zhixuan Liu, Peter Schaldenbrand, Yijun Li +5
In video diffusion transformers, visual patch tokens maintain explicit correspondence to space and time. We hypothesize that their channel dimension can serve as a semantic control…
Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models
Huichan Seo, Sieun Choi, Minki Hong +8
Generative image models produce striking visuals yet often misrepresent culture. Prior work has examined cultural bias mainly in text-to-image (T2I) systems, leaving image-to-image…
STRIVE: Structured Representation Integrating VLM Reasoning for Efficient Object Navigation
Haokun Zhu, Zongtai Li, Zhixuan Liu +4
Vision-Language Models (VLMs) have been increasingly integrated into object navigation tasks for their rich prior knowledge and strong reasoning abilities. However, applying VLMs t…
MOSAIC: Generating Consistent, Privacy-Preserving Scenes from Multiple Depth Views in Multi-Room Environments
Zhixuan Liu, Haokun Zhu, Rui Chen +4
We introduce a diffusion-based approach for generating privacy-preserving digital twins of multi-room indoor environments from depth images only. Central to our approach is a novel…
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation
Zhixuan Liu, Peter Schaldenbrand, Beverley-Claire Okogwu +5
Accurate representation in media is known to improve the well-being of the people who consume it. Generative image models trained on large web-crawled datasets such as LAION are kn…