[CLS] Token is All You Need for Zero-Shot Semantic Segmentation
Paper • 2304.06212 • Published
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WenyaoZhang
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authored a paper 22 days ago
[CLS] Token is All You Need for Zero-Shot Semantic Segmentation authored a paper 22 days ago
OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for
Vision Language ModelsOrganizations
authored 13
papers 22 days ago
OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models
Paper • 2506.03135 • Published • 40
Hybrid-grained Feature Aggregation with Coarse-to-fine Language Guidance for Self-supervised Monocular Depth Estimation
Paper • 2510.09320 • Published • 3
Reasoning in Space via Grounding in the World
Paper • 2510.13800 • Published • 15
Hierarchical Temporal Context Learning for Camera-based Semantic Scene Completion
Paper • 2407.02077 • Published
VLA-JEPA: Enhancing Vision-Language-Action Model with Latent World Model
Paper • 2602.10098 • Published • 22
ReWorld: Multi-Dimensional Reward Modeling for Embodied World Models
Paper • 2601.12428 • Published
AIM: Intent-Aware Unified world action Modeling with Spatial Value Maps
Paper • 2604.11135 • Published
Disentangled Robot Learning via Separate Forward and Inverse Dynamics Pretraining
Paper • 2604.16391 • Published • 4
Humanoid-GPT: Scaling Data and Structure for Zero-Shot Motion Tracking
Paper • 2606.03985 • Published • 41
LIMMT: Less is More for Motion Tracking
Paper • 2606.06953 • Published • 16
MaskWAM: Unifying Mask Prompting and Prediction for World-Action Models
Paper • 2606.13515 • Published • 2
ImageWAM: Do World Action Models Really Need Video Generation, or Just Image Editing?
Paper • 2606.19531 • Published • 22
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