Search Results for author:
Found 9 papers, 5 papers with code
Do We Really Need a Complex Agent System? Distill Embodied Agent into a Single Model
After distillation, embodied agents can complete complex, open-ended tasks without additional expert guidance, utilizing the performance and knowledge of a versatile MLM.
Hierarchical Auto-Organizing System for Open-Ended Multi-Agent Navigation
To assess organizational behavior, we design a series of navigation tasks in the Minecraft environment, which includes searching and exploring.
Generalized Correspondence Matching via Flexible Hierarchical Refinement and Patch Descriptor Distillation
Taking into account the practical applicability of our method in real-world robotics applications, we also propose a novel patch descriptor distillation strategy to further reduce the computational complexity of correspondence matching.
Towards Effective Multi-Moving-Camera Tracking: A New Dataset and Lightweight Link Model
Moreover, to alleviate the impact of the image style variations caused by different cameras, a color transfer module is effectively incorporated to extract cross-camera consistent appearance features for pedestrian association across moving cameras for ICT, resulting in a much improved MTMMC tracking system, which can constitute a step further towards coordinated mining of multiple moving cameras.
UniAP: Towards Universal Animal Perception in Vision via Few-shot Learning
Our proposed model takes support images and labels as prompt guidance for a query image.
MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Recently, integrating video foundation models and large language models to build a video understanding system can overcome the limitations of specific pre-defined vision tasks.
Video-based Generative Performance Benchmarking (Consistency)
Video-based Generative Performance Benchmarking (Contextual Understanding)
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DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models
We focus on a new fashion design task, where we aim to transfer a reference appearance image onto a clothing image while preserving the structure of the clothing image.
High-fidelity 3D Model Compression based on Key Spheres
Compared to previous works, our method achieves the high-fidelity and high-compression 3D object coding and reconstruction.
SN-Graph: a Minimalist 3D Object Representation for Classification
Using deep learning techniques to process 3D objects has achieved many successes.
