Search Results for author: Ah-Hwee Tan

Found 5 papers, 1 papers with code

CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation

no code implementations7 Nov 2024 Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves

To solve this issue, we propose Cooperative Plan Optimization (CaPo) to enhance the cooperation efficiency of LLM-based embodied agents.

Large Language Model

Deep Reinforcement Learning with Explicit Context Representation

no code implementations15 Oct 2023 Francisco Munguia-Galeano, Ah-Hwee Tan, Ze Ji

The novelty of the IECR framework lies in its capacity to extract contextual information from the environment and learn from the CKFs' representation.

Deep Reinforcement Learning reinforcement-learning +1

Predicting Visual Context for Unsupervised Event Segmentation in Continuous Photo-streams

no code implementations7 Aug 2018 Ana Garcia del Molino, Joo-Hwee Lim, Ah-Hwee Tan

Since motion cues are not available in continuous photo-streams, and annotations in lifelogging are scarce and costly, the frames are usually clustered into events by comparing the visual features between them in an unsupervised way.

Event Segmentation Retrieval

CRRN: Multi-Scale Guided Concurrent Reflection Removal Network

1 code implementation CVPR 2018 Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot

Removing the undesired reflections from images taken through the glass is of broad application to various computer vision tasks.

Reflection Removal

Benchmarking Single-Image Reflection Removal Algorithms

no code implementations ICCV 2017 Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot

Removing undesired reflections from a photo taken in front of a glass is of great importance for enhancing the efficiency of visual computing systems.

Benchmarking Reflection Removal

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