Seri An 2/25/25 Seri An 2/25/25

A Study on Detecting LLM-Generated Multilingual Content

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Seri An 2/10/25 Seri An 2/10/25

Where do LLMs Encode the Knowledge to Assess the Ambiguity?

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Seri An 8/2/24 Seri An 8/2/24

Deploying an Efficient Vision-Language Model on Mobile Devices

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Seri An 6/13/24 Seri An 6/13/24

Cluster Self-Refinement for Enhanced Online Multi-Camera People Tracking

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Seri An 6/10/24 Seri An 6/10/24

Road Object Detection Robust to Distorted Objects at the Edge Regions of images

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Seri An 5/17/24 Seri An 5/17/24

EdgeFusion: On-device Text-to-Image Generation

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Seri An 4/17/24 Seri An 4/17/24

LD-Pruner: Efficient Pruning of Latent Diffusion Models using Task-Agnostic Insights

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Seri An 4/5/24 Seri An 4/5/24

Shortened LLM: A Simple Depth Pruning for Large Language Models

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Seri An 11/14/23 Seri An 11/14/23

Integrating LaunchX with NVIDIA TAO Toolkit for Running on Various Edge Devices

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Seri An 9/13/23 Seri An 9/13/23

Revolutionizing Mobile AI: How NetsPresso® Turbocharges Semantic Segmentation Models for Real-Time Performance

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Seri An 7/27/23 Seri An 7/27/23

Empowering Pedestrian Safety: The Obstacle Detection App and AI Model Optimization

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Seri An 7/12/23 Seri An 7/12/23

Revolutionizing Laundry Symbol Detection with AI Model Optimization: Streamlining the Process for Precise Results

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Seri An 6/22/23 Seri An 6/22/23

Advancing Road Safety with AI-Powered Pothole Detection: Performance Enhancements for AI Vision Developers and Engineers

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Seri An 6/13/23 Seri An 6/13/23

Enhancing Real-Time Processing of YOLOv5-L Using Pruning Techniques in PyNetsPresso

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