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20192026
most citedPerceptually Optimizing Deep Image Compression

8 citations · 20 across the 8 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

USR-Drive: Unified Driving Scene Representation via Joint Denoising of 3D Gaussians and Boxes

Li-Heng Chen, Haokai Pang, Chengye Su +7

Spatial representation learning for autonomous driving aims to map raw visual signals into structured 3D scene representations, where object-centric bounding boxes and rendering-or…

cs.CV2026

VistaGEN: Consistent Driving Video Generation with Fine-Grained Control Using Multiview Visual-Language Reasoning

Li-Heng Chen, Ke Cheng, Yahui Liu +3

Driving video generation has achieved much progress in controllability, video resolution, and length, but fails to support fine-grained object-level controllability for diverse dri…

cs.CV2025★ 1 cited

Subjective and Objective Quality Assessment of Banding Artifacts on Compressed Videos

Qi Zheng, Li-Heng Chen, Chenlong He +6

Although there have been notable advancements in video compression technologies in recent years, banding artifacts remain a serious issue affecting the quality of compressed videos…

cs.CV2025

GCRayDiffusion: Pose-Free Surface Reconstruction via Geometric Consistent Ray Diffusion

Li-Heng Chen, Zi-Xin Zou, Chang Liu +5

Accurate surface reconstruction from unposed images is crucial for efficient 3D object or scene creation. However, it remains challenging, particularly for the joint camera pose es…

cs.CV2021★ 3 cited

Regression or Classification? New Methods to Evaluate No-Reference Picture and Video Quality Models

Zhengzhong Tu, Chia-Ju Chen, Li-Heng Chen +4

Video and image quality assessment has long been projected as a regression problem, which requires predicting a continuous quality score given an input stimulus. However, recent ef…

cs.CV2019

Facial Emotion Recognition Using Deep Learning

Ching-Da Wu, Li-Heng Chen

We aim to construct a system that captures real-world facial images through the front camera on a laptop. The system is capable of processing/recognizing the captured image and pre…