2 citations · 5 across the 13 of their papers we have counts for
15 papers
Drift-Resistant Navigation World Model with Anchored Epipolar Guidance
Po-Chien Luan, Zimin Xia, Wuyang Li +2
We propose Drift-Resistant Navigation World Model, a generative model that mitigates both perceptual drift and geometric drift in conventional rollout-based navigation world models…
Selective, Regularized, and Calibrated: Harnessing Vision Foundation Models for Cross-Domain Few-Shot Semantic Segmentation
Junyuan Ma, Xunzhi Xiang, Wenbin Li +2
Vision foundation models (VFMs) have achieved strong performance across various vision tasks. However, it still remains challenging to apply VFMs for cross-domain few-shot segmenta…
Social-Mamba: Socially-Aware Trajectory Forecasting with State-Space Models
Po-Chien Luan, Wuyang Li, Yang Gao +1
Human trajectory forecasting is crucial for safe navigation in crowded environments, requiring models that balance accuracy with computational efficiency. Efficiently modeling soci…
EverAnimate: Minute-Scale Human Animation via Latent Flow Restoration
Wuyang Li, Yang Gao, Mariam Hassan +4
We propose EverAnimate, an efficient post-training method for long-horizon animated video generation that preserves visual quality and character identity. Long-form animation remai…
SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture
Haiwen Diao, Penghao Wu, Hanming Deng +55
Recent large vision-language models (VLMs) remain fundamentally constrained by a persistent dichotomy: understanding and generation are treated as distinct problems, leading to fra…
Hindsight Hint Distillation: Scaffolded Reasoning for SWE Agents from CoT-free Answers
Shengjie Wang, Guanghe Li, Zonghan Yang +1
Solving complex long-horizon tasks requires strong planning and reasoning capabilities. Although datasets with explicit chain-of-thought (CoT) rationales can substantially benefit…
InsHuman: Towards Natural and Identity-Preserving Human Insertion
Jie Li, Shulian Zhang, Yangyang Gao +4
Human insertion aims to naturally place specific individuals into a target background. Although existing image editing models may have such ability, they often produce failure case…
Stable Video Infinity: Infinite-Length Video Generation with Error Recycling
Wuyang Li, Wentao Pan, Po-Chien Luan +2
We propose Stable Video Infinity (SVI) that is able to generate infinite-length videos with high temporal consistency, plausible scene transitions, and controllable streaming story…
RAP: 3D Rasterization Augmented End-to-End Planning
Lan Feng, Yang Gao, Eloi Zablocki +5
Imitation learning for end-to-end driving trains policies only on expert demonstrations. Once deployed in a closed loop, such policies lack recovery data: small mistakes cannot be…
OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction
Yang Gao, Po-Chien Luan, Kaouther Messaoud +2
While large-scale pre-training has advanced human trajectory prediction, a critical challenge remains: zero-shot transfer to unseen dataset with varying temporal dynamics. State-of…
Social-Pose: Enhancing Trajectory Prediction with Human Body Pose
Yang Gao, Saeed Saadatnejad, Alexandre Alahi
Accurate human trajectory prediction is one of the most crucial tasks for autonomous driving, ensuring its safety. Yet, existing models often fail to fully leverage the visual cues…
Unified Human Localization and Trajectory Prediction with Monocular Vision
Po-Chien Luan, Yang Gao, Celine Demonsant +1
Conventional human trajectory prediction models rely on clean curated data, requiring specialized equipment or manual labeling, which is often impractical for robotic applications.…
Multi-Transmotion: Pre-trained Model for Human Motion Prediction
Yang Gao, Po-Chien Luan, Alexandre Alahi
The ability of intelligent systems to predict human behaviors is crucial, particularly in fields such as autonomous vehicle navigation and social robotics. However, the complexity…
Social-Transmotion: Promptable Human Trajectory Prediction
Saeed Saadatnejad, Yang Gao, Kaouther Messaoud +1
Accurate human trajectory prediction is crucial for applications such as autonomous vehicles, robotics, and surveillance systems. Yet, existing models often fail to fully leverage…
JRDB-Traj: A Dataset and Benchmark for Trajectory Forecasting in Crowds
Saeed Saadatnejad, Yang Gao, Hamid Rezatofighi +1
Predicting future trajectories is critical in autonomous navigation, especially in preventing accidents involving humans, where a predictive agent's ability to anticipate in advanc…