Search Results - Computing methodologies— Computer graphics—Image manipulation—Image processing

DM-Tune: Quantizing Diffusion Models with Mixture-of-Gaussian Guided Noise Tuning by Haghi, Pouya, Falahati, Ali, Azad, Zahra, Wu, Chunshu, Song, Ruibing, Liu, Chuan, Li, Ang, Geng, Tong

“…Diffusion models have become essential generative tools for tasks such as image generation, video creation, and inpainting, but their high computational and…”
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DCDiff: Enhancing JPEG Compression via Diffusion-based DC Coefficients Estimation by Zhang, Ziyuan, Qiu, Han, Zhang, Tianwei, Chen, Bin, Zhang, Chao

“…JPEG is the most widely-used image compression method on low-cost cameras which cannot support learning-based compressors. One promising approach to enhance…”
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SQ-DM: Accelerating Diffusion Models with Aggressive Quantization and Temporal Sparsity by Fan, Zichen, Dai, Steve, Venkatesan, Rangharajan, Sylvester, Dennis, Khailany, Brucek

“…Diffusion models have gained significant popularity in image generation tasks. However, generating high-quality content remains notably slow because it…”
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SynGPU: Synergizing CUDA and Bit-Serial Tensor Cores for Vision Transformer Acceleration on GPU by Yao, Yuanzheng, Zhang, Chen, Qi, Chunyu, Chen, Ruiyang, Wang, Jun, Fu, Zhihui, Jing, Naifeng, Liang, Xiaoyao, Song, Zhuoran

“…Vision Transformers (ViTs) have demonstrated remarkable performance in computer vision tasks by effectively extracting global features…”
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MHDiff: Memory- and Hardware-Efficient Diffusion Acceleration via Focal Pixel Aware Quantization by Qi, Chunyu, Wang, Xuhang, Chen, Ruiyang, Yao, Yuanzheng, Jing, Naifeng, Zhang, Chen, Wang, Jun, Fu, Zhihui, Liang, Xiaoyao, Song, Zhuoran

“…Diffusion models have demonstrated superior performance in image generation tasks, thus becoming the mainstream model for generative visual tasks. Diffusion…”
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Rain Wiper: An Incremental Randomly Wired Network for Single Image Deraining by Liang, X., Qiu, B., Su, Z., Gao, C., Shi, X., Wang, R.

“…Single image rain removal is a challenging ill‐posed problem due to various shapes and densities of rain streaks. We present a novel incremental randomly wired…”
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Privacy-Preserving Medical Image Segmentation via Hybrid Trusted Execution Environment by Bian, Song, Jiang, Weiwen, Sato, Takashi

“…Recently, it is reported that the-state-of-the-art secure protocol is able to segment a three-dimensional heart CT scan in roughly 3,000 seconds, without…”
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Extended Depth-of-Field Projector using Learned Diffractive Optics by Li, Yuqi, Fu, Qiang, Heidrich, Wolfgang

“…Projector Depth-of-Field (DOF) refers to the projection range of projector images in focus. It is a crucial property of projectors in spatial augmented reality…”
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On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study by Van, Minh-Hao, Verma, Prateek, Wu, Xintao

“…Recently, large language models (LLMs) have taken the spotlight in natural language processing…”
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Degraded Reality: Using VR/AR to simulate visual impairments by Jones, Pete R., Ometto, Giovanni

“…The effects of eye disease cannot be depicted accurately using traditional media. Consequently, public understanding of eye disease is often poor. We present a…”
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Deep360Up: A Deep Learning-Based Approach for Automatic VR Image Upright Adjustment by Jung, Raehyuk, Lee, Aiden Seung Joon, Ashtari, Amirsaman, Bazin, Jean-Charles

“…Spherical VR cameras can capture high-quality immersive VR images with a 360° field of view. However, in practice, when the camera orientation is not straight,…”
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Adaptive Patching for High-resolution Image Segmentation with Transformers by Zhang, Enzhi, Lyngaas, Isaac, Chen, Peng, Wang, Xiao, Igarashi, Jun, Huo, Yuankai, Munetomo, Masaharu, Wahib, Mohamed

“… We take inspiration from Adapative Mesh Refinement (AMR) methods in HPC by adaptively patching the images, as a pre-processing step, based on the image details to reduce…”
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Enhancing Electron Microscopy Image Classification Using Data Augmentation by Welsman, Jordan A., Weber, Gunther H., Amusat, Oluwamayowa O., Giannakou, Anna, Ramakrishnan, Lavanya

“…Manual labeling for machine learning tasks such as image classification is tedious and labor-intensive; as a result, scientific datasets suitable for deep…”
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Toward Fair and Efficient Hyperdimensional Computing by Sheng, Yi, Yang, Junhuan, Jiang, Weiwen, Yang, Lei

“…, people with different skin tones). Brain-inspired hyperdimensional computing (HDC) has demonstrated its ability to run ML tasks on edge devices with a small memory footprint…”
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Label segregation by remapping stereoscopic depth in far-field augmented reality by Peterson, Stephen D., Axholt, Magnus, Ellis, Stephen R.

“…This paper describes a novel technique for segregating overlapping labels in stereoscopic see-through displays. The present study investigates the labeling of…”
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Human Control of UAVs using Face Pose Estimates and Hand Gestures by Nagi, Jawad, Giusti, Alessandro, Di Caro, Gianni A., Gambardella, Luca M.

“…As a first step towards human and multiple-UAV interaction, we present a novel method for humans to interact with flying UAVs using locally on-board video…”
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Distribution-Shifting: Novel Phase-distortion Metrics for Hologram Processing by Choi, Seungmi, Cha, Jun Yeong, Ban, Hyunmin, Oh, Kwan-Jung, Ko, Hyunsuk, Kim, Hui Yong

“… However, the necessity of NR for hologram processing leads to more intricate design and a higher computational burden…”
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Propagation as Data (PaD): Neural Phase Hologram Generation with Variable Distance Support by Cha, Jun Yeong, Ban, Hyunmin, Choi, Seongmi, Kim, Hui Yong

“…Most of the neural network models for generating phase holograms developed so far are trained and validated only for a single distance. Consequently, if a…”
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Discovering Image Usage Online: A Case Study with "Flatten the Curve" by Jones, Shawn M., Oyen, Diane

“…Understanding the spread of images across the web helps us understand the reuse of scientific visualizations and their relationship with the public. The…”
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Real-time Hand-object Occlusion for Augmented Reality Using Hand Segmentation and Depth Correction by Wu, Yuhui, Liu, Yue, Wang, Jiajun

“…Hand-object occlusion is crucial to enhance the realism of Aug-mented Reality, especially for egocentric hand-object interaction scenes. In this paper, a hand…”
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