Kai-Lung Hua, Ph.D.

Affiliations: 
2010 Electrical and Computer Engineering Purdue University, West Lafayette, IN, United States 
Area:
Electronics and Electrical Engineering
Google:
"Kai-Lung Hua"

Parents

Sign in to add mentor
Ilya Pollak grad student 2010 Purdue
 (New algorithms for video compression, image classification and image enhancement.)
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Tan DS, Lin Y, Hua K. (2020) Incremental Learning of Multi-Domain Image-to-Image Translations Ieee Transactions On Circuits and Systems For Video Technology. 1-1
Ople JJM, Yeh P, Sun S, et al. (2020) Multi-Scale Neural Network With Dilated Convolutions for Image Deblurring Ieee Access. 8: 53942-53952
Lin YH, Hua KL, Lu HH, et al. (2019) An Adaptive Exposure Fusion Method Using fuzzy Logic and Multivariate Normal Conditional Random Fields. Sensors (Basel, Switzerland). 19
Tan DS, Lin JM, Lai YC, et al. (2019) Depth Map Upsampling via Multi-Modal Generative Adversarial Network. Sensors (Basel, Switzerland). 19
Tan DS, Yao CY, Ruiz C, et al. (2019) Single-Image Depth Inference Using Generative Adversarial Networks. Sensors (Basel, Switzerland). 19
Sun SW, Mou TC, Fang CC, et al. (2019) Baseball Player Behavior Classification System Using Long Short-Term Memory with Multimodal Features. Sensors (Basel, Switzerland). 19
Hua KL, Trang HT, Srinivasan K, et al. (2019) Reduction of Artefacts in JPEG-XR Compressed Images. Sensors (Basel, Switzerland). 19
Soeseno JH, Tan DS, Chen W, et al. (2019) Faster, Smaller, and Simpler Model for Multiple Facial Attributes Transformation Ieee Access. 7: 36400-36412
Tan DS, Chen WY, Hua KL. (2018) DeepDemosaicking: Adaptive Image Demosaicking via Multiple Deep Fully Convolutional Networks. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society
Wang H, Lai Y, Cheng W, et al. (2018) Background Extraction Based on Joint Gaussian Conditional Random Fields Ieee Transactions On Circuits and Systems For Video Technology. 28: 3127-3140
See more...