19 citations · 127 across the 127 of their papers we have counts for
11 papers · 1 filter
RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
Bin Zhang, Jinggang Chen, Xiaoyang Qu +5
Enabling object detectors to recognize out-of-distribution (OOD) objects is vital for building reliable systems. A primary obstacle stems from the fact that models frequently do no…
Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers
Wei Tao, Shenglin He, Kai Lu +5
Deploying neural networks on microcontroller units (MCUs) presents substantial challenges due to their constrained computation and memory resources. Previous researches have explor…
EmoTalker: Emotionally Editable Talking Face Generation via Diffusion Model
Bingyuan Zhang, Xulong Zhang, Ning Cheng +3
In recent years, the field of talking faces generation has attracted considerable attention, with certain methods adept at generating virtual faces that convincingly imitate human…
CP-EB: Talking Face Generation with Controllable Pose and Eye Blinking Embedding
Jianzong Wang, Yimin Deng, Ziqi Liang +3
This paper proposes a talking face generation method named "CP-EB" that takes an audio signal as input and a person image as reference, to synthesize a photo-realistic people talki…
AOSR-Net: All-in-One Sandstorm Removal Network
Yazhong Si, Xulong Zhang, Fan Yang +3
Most existing sandstorm image enhancement methods are based on traditional theory and prior knowledge, which often restrict their applicability in real-world scenarios. In addition…
DiffTalker: Co-driven audio-image diffusion for talking faces via intermediate landmarks
Zipeng Qi, Xulong Zhang, Ning Cheng +2
Generating realistic talking faces is a complex and widely discussed task with numerous applications. In this paper, we present DiffTalker, a novel model designed to generate lifel…
EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices
Liang Wang, Nan Zhang, Xiaoyang Qu +6
Real-time video analytics on edge devices for changing scenes remains a difficult task. As edge devices are usually resource-constrained, edge deep neural networks (DNNs) have fewe…
Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning
Liang Wang, Kai Lu, Nan Zhang +5
This paper proposes Shoggoth, an efficient edge-cloud collaborative architecture, for boosting inference performance on real-time video of changing scenes. Shoggoth uses online kno…
Pose Guided Human Image Synthesis with Partially Decoupled GAN
Jianhan Wu, Jianzong Wang, Shijing Si +2
Pose Guided Human Image Synthesis (PGHIS) is a challenging task of transforming a human image from the reference pose to a target pose while preserving its style. Most existing met…
Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning
Yanxin Song, Jianzong Wang, Tianbo Wu +2
Facial micro-expressions recognition has attracted much attention recently. Micro-expressions have the characteristics of short duration and low intensity, and it is difficult to t…
Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance
Jianhan Wu, Shijing Si, Jianzong Wang +1
With the rapid development of the Metaverse, virtual humans have emerged, and human image synthesis and editing techniques, such as pose transfer, have recently become popular. Mos…