157 citations · 168 across the 7 of their papers we have counts for
7 papers
Towards Degradation-Robust Reconstruction in Generalizable NeRF
Chan Ho Park, Ka Leong Cheng, Zhicheng Wang +1
Generalizable Neural Radiance Field (GNeRF) across scenes has been proven to be an effective way to avoid per-scene optimization by representing a scene with deep image features of…
Learning Naturally Aggregated Appearance for Efficient 3D Editing
Ka Leong Cheng, Qiuyu Wang, Zifan Shi +5
Neural radiance fields, which represent a 3D scene as a color field and a density field, have demonstrated great progress in novel view synthesis yet are unfavorable for editing du…
Food-500 Cap: A Fine-Grained Food Caption Benchmark for Evaluating Vision-Language Models
Zheng Ma, Mianzhi Pan, Wenhan Wu +4
Vision-language models (VLMs) have shown impressive performance in substantial downstream multi-modal tasks. However, only comparing the fine-tuned performance on downstream tasks…
Optimizing Image Compression via Joint Learning with Denoising
Ka Leong Cheng, Yueqi Xie, Qifeng Chen
High levels of noise usually exist in today's captured images due to the relatively small sensors equipped in the smartphone cameras, where the noise brings extra challenges to los…
IICNet: A Generic Framework for Reversible Image Conversion
Ka Leong Cheng, Yueqi Xie, Qifeng Chen
Reversible image conversion (RIC) aims to build a reversible transformation between specific visual content (e.g., short videos) and an embedding image, where the original content…
Enhanced Invertible Encoding for Learned Image Compression
Yueqi Xie, Ka Leong Cheng, Qifeng Chen
Although deep learning based image compression methods have achieved promising progress these days, the performance of these methods still cannot match the latest compression stand…
Fully Convolutional Networks for Continuous Sign Language Recognition
Ka Leong Cheng, Zhaoyang Yang, Qifeng Chen +1
Continuous sign language recognition (SLR) is a challenging task that requires learning on both spatial and temporal dimensions of signing frame sequences. Most recent work accompl…