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Heng-Shuang Zhao

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Sep 2026

Enhancing Local Cognition of CLIP for Training-Free Open Vocabulary Semantic Segmentation.

This work proposes CLIPtrase, a novel training-free semantic segmentation strategy, which enhances local cognition through recalibrated self-correlation among patches and quadrant mask ensemble strategy, which demonstrates significant improvements in segmentation accuracy and the ability to maintain semantic coherence...

Tong Shao, Zhuo-Tao Tian, Yun-Yang Mo et al. · 0 citations
Preprint Aug 2026

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives

PlayWorld is introduced, a benchmark providing 171 scenarios, each with a specified objective, to assess models along four core dimensions: geometry consistency, interaction fidelity, out-of-sight evolution, and insight evolution, and basic ability metrics for video quality and controllability.

Kai Ding, Xi Chen, Ming-Hong Cai et al. · 3 citations
Preprint Aug 2026

Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models

This work proposes VLAct, a VLA-oriented VLM backbone trained on broad, heterogeneous, multi-embodiment robot data before task-specific fine-tuning, showing that representation-centric continued pre-training can deliver highly competitive performance under a modest compute budget and is an important independent axis of...

Sen-Qiao Yang, Cheng-Yao Wang, Yu-Xin Chen et al. · 8 citations
Preprint Aug 2026

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing

The OmniEdit-Bench provides a comprehensive and reliable testbed for evaluating instruction-based video editing and offers insights into future research directions, including an accuracy-aware penalty mechanism that conditions other scores on accuracy, preventing visually plausible but incorrect edits from receiving in...

Chenxuan Miao, Yutong Feng, Yi Lu et al. · 1 citation

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