13 citations · 28 across the 13 of their papers we have counts for
13 papers
Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images
Qingping Zheng, Yuanfan Guo, Jiankang Deng +4
Stable diffusion, a generative model used in text-to-image synthesis, frequently encounters resolution-induced composition problems when generating images of varying sizes. This is…
DiffSED: Sound Event Detection with Denoising Diffusion
Swapnil Bhosale, Sauradip Nag, Diptesh Kanojia +2
Sound Event Detection (SED) aims to predict the temporal boundaries of all the events of interest and their class labels, given an unconstrained audio sample. Taking either the spl…
Robotic Perception of Transparent Objects: A Review
Jiaqi Jiang, Guanqun Cao, Jiankang Deng +2
Transparent object perception is a rapidly developing research problem in artificial intelligence. The ability to perceive transparent objects enables robots to achieve higher leve…
Regularization of polynomial networks for image recognition
Grigorios G Chrysos, Bohan Wang, Jiankang Deng +1
Deep Neural Networks (DNNs) have obtained impressive performance across tasks, however they still remain as black boxes, e.g., hard to theoretically analyze. At the same time, Poly…
DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion
Sauradip Nag, Xiatian Zhu, Jiankang Deng +2
We propose a new formulation of temporal action detection (TAD) with denoising diffusion, DiffTAD in short. Taking as input random temporal proposals, it can yield action proposals…
Domain-General Crowd Counting in Unseen Scenarios
Zhipeng Du, Jiankang Deng, Miaojing Shi
Domain shift across crowd data severely hinders crowd counting models to generalize to unseen scenarios. Although domain adaptive crowd counting approaches close this gap to a cert…
Confidence-guided Centroids for Unsupervised Person Re-Identification
Yunqi Miao, Jiankang Deng, Guiguang Ding +1
Unsupervised person re-identification (ReID) aims to train a feature extractor for identity retrieval without exploiting identity labels. Due to the blind trust in imperfect cluste…
Super-resolution Reconstruction of Single Image for Latent features
Xin Wang, Jing-Ke Yan, Jing-Ye Cai +3
Single-image super-resolution (SISR) typically focuses on restoring various degraded low-resolution (LR) images to a single high-resolution (HR) image. However, during SISR tasks,…
Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models
Chengcheng Ma, Yang Liu, Jiankang Deng +3
Pretrained vision-language models (VLMs) such as CLIP have shown impressive generalization capability in downstream vision tasks with appropriate text prompts. Instead of designing…
Perspective Reconstruction of Human Faces by Joint Mesh and Landmark Regression
Jia Guo, Jinke Yu, Alexandros Lattas +1
Even though 3D face reconstruction has achieved impressive progress, most orthogonal projection-based face reconstruction methods can not achieve accurate and consistent reconstruc…
FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders
Kai Wang, Bo Zhao, Xiangyu Peng +5
Face recognition, as one of the most successful applications in artificial intelligence, has been widely used in security, administration, advertising, and healthcare. However, the…
Poly-NL: Linear Complexity Non-local Layers with Polynomials
Francesca Babiloni, Ioannis Marras, Filippos Kokkinos +3
Spatial self-attention layers, in the form of Non-Local blocks, introduce long-range dependencies in Convolutional Neural Networks by computing pairwise similarities among all poss…
Augmenting Deep Classifiers with Polynomial Neural Networks
Grigorios G Chrysos, Markos Georgopoulos, Jiankang Deng +3
Deep neural networks have been the driving force behind the success in classification tasks, e.g., object and audio recognition. Impressive results and generalization have been ach…