18 citations · 22 across the 11 of their papers we have counts for
12 papers
Sometimes You Gotta Run Before You Can Walk: Run-then-Walk Scheduling Strategy for VLM Autonomous Driving
Yuqi Ye, Shangkun Sun, Junhong Lin +6
Recent VLM-based autonomous driving planners adopt GRPO-style reinforcement learning to optimize driving performance. However, existing GRPO recipes either optimize driving efficie…
PhysisForcing: Physics Reinforced World Simulator for Robotic Manipulation
Peiwen Zhang, Yufan Deng, Shangkun Sun +11
Video generation models have emerged as a promising paradigm for embodied world simulation. However, both general-domain video generators and robot-specific data fine-tuned models…
: Unified Chain of Perception-Prediction-Planning Thought via Reinforcement Fine-Tuning
Yuqi Ye, Zijian Zhang, Junhong Lin +3
Vision-language models (VLMs) are increasingly being adopted for end-to-end autonomous driving systems due to their exceptional performance in handling long-tail scenarios. However…
IE-Critic-R1: Advancing the Explanatory Measurement of Text-Driven Image Editing for Human Perception Alignment
Bowen Qu, Shangkun Sun, Xiaoyu Liang +1
Recent advances in text-driven image editing have been significant, yet the task of accurately evaluating these edited images continues to pose a considerable challenge. Different…
Flow4Agent: Long-form Video Understanding via Motion Prior from Optical Flow
Ruyang Liu, Shangkun Sun, Haoran Tang +2
Long-form video understanding has always been a challenging problem due to the significant redundancy in both temporal and spatial contents. This challenge is further exacerbated b…
VideoGen-Eval: Agent-based System for Video Generation Evaluation
Yuhang Yang, Ke Fan, Shangkun Sun +7
The rapid advancement of video generation has rendered existing evaluation systems inadequate for assessing state-of-the-art models, primarily due to simple prompts that cannot sho…
Content-Rich AIGC Video Quality Assessment via Intricate Text Alignment and Motion-Aware Consistency
Shangkun Sun, Xiaoyu Liang, Bowen Qu +1
The advent of next-generation video generation models like \textit{Sora} poses challenges for AI-generated content (AIGC) video quality assessment (VQA). These models substantially…
IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment
Shangkun Sun, Bowen Qu, Xiaoyu Liang +2
Recent advances in text-driven image editing have been significant, yet the task of accurately evaluating these edited images continues to pose a considerable challenge. Different…
VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment
Shangkun Sun, Xiaoyu Liang, Songlin Fan +2
Text-driven video editing has recently experienced rapid development. Despite this, evaluating edited videos remains a considerable challenge. Current metrics tend to fail to align…
Exploring AIGC Video Quality: A Focus on Visual Harmony, Video-Text Consistency and Domain Distribution Gap
Bowen Qu, Xiaoyu Liang, Shangkun Sun +1
The recent advancements in Text-to-Video Artificial Intelligence Generated Content (AIGC) have been remarkable. Compared with traditional videos, the assessment of AIGC videos enco…
StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences
Shangkun Sun, Jiaming Liu, Thomas H. Li +3
Occlusions between consecutive frames have long posed a significant challenge in optical flow estimation. The inherent ambiguity introduced by occlusions directly violates the brig…
SKFlow: Learning Optical Flow with Super Kernels
Shangkun Sun, Yuanqi Chen, Yu Zhu +2
Optical flow estimation is a classical yet challenging task in computer vision. One of the essential factors in accurately predicting optical flow is to alleviate occlusions betwee…