FPGA implementation of a same-frequency cellular repeater using adaptive feedback cancellation. - Dennis R. Morgan; Michael G. Zierdt; Denis A. Gudovskiy; John Pastalan; Zhengxiang Ma (ICASSP, 2013)

A Novel Nondata-Aided Synchronization Algorithm for MSK-Type-Modulated Signals. - Denis A. Gudovskiy; Lichung Chu; Shinhaeng Lee (IEEE Commun. Lett., 2015)

ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks. - Denis A. Gudovskiy; Luca Rigazio (CoRR, 2017)

An Accurate and Stable Sliding DFT Computed by a Modified CIC Filter [Tips & Tricks]. - Denis A. Gudovskiy; Lichung Chu (IEEE Signal Process. Mag., 2017)

DNN Feature Map Compression Using Learned Representation over GF(2). - Denis A. Gudovskiy; Alec Hodgkinson; Luca Rigazio (ECCV Workshops (4), 2018)

Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions. - Denis A. Gudovskiy; Alec Hodgkinson; Takuya Yamaguchi; Yasunori Ishii; Sotaro Tsukizawa (CoRR, 2018)

Smart Home Appliances: Chat with Your Fridge. - Denis A. Gudovskiy; Gyuri Han; Takuya Yamaguchi; Sotaro Tsukizawa (CoRR, 2019)

Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision. - Denis A. Gudovskiy; Alec Hodgkinson; Takuya Yamaguchi; Sotaro Tsukizawa (CVPR, 2020)

Contrastive Neural Processes for Self-Supervised Learning. - Konstantinos Kallidromitis; Denis A. Gudovskiy; Kazuki Kozuka; Ohama Iku; Luca Rigazio (ACML, 2021)

AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation. - Denis A. Gudovskiy; Luca Rigazio; Shun Ishizaka; Kazuki Kozuka; Sotaro Tsukizawa (CVPR, 2021)

MTTrans: Cross-domain Object Detection with Mean Teacher Transformer. - Jinze Yu 002; Jiaming Liu 003; Xiaobao Wei; Haoyi Zhou; Yohei Nakata; Denis A. Gudovskiy; Tomoyuki Okuno; Jianxin Li 002; Kurt Keutzer; Shanghang Zhang (ECCV (9), 2022)

CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows. - Denis A. Gudovskiy; Shun Ishizaka; Kazuki Kozuka (WACV, 2022)

Cross-Domain Object Detection with Mean-Teacher Transformer. - Jinze Yu 001; Jiaming Liu 003; Xiaobao Wei; Haoyi Zhou; Yohei Nakata; Denis A. Gudovskiy; Tomoyuki Okuno; Jianxin Li 002; Kurt Keutzer; Shanghang Zhang (CoRR, 2022)

Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow. - Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata (UAI, 2023)

Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation. - Rongyu Zhang; Yulin Luo; Jiaming Liu 003; Huanrui Yang; Zhen Dong 003; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Yuan Du; Shanghang Zhang (CoRR, 2023)

Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation. - Rongyu Zhang; Yulin Luo; Jiaming Liu 003; Huanrui Yang; Zhen Dong 003; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Yuan Du; Shanghang Zhang (AAAI, 2024)

Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting. - Anthony Chen; Huanrui Yang; Yulu Gan; Denis A. Gudovskiy; Zhen Dong 003; Haofan Wang; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Shanghang Zhang (ICML, 2024)

VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness. - Rongyu Zhang; Zefan Cai; Huanrui Yang; Zidong Liu; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Baobao Chang; Yuan Du; Li Du; Shanghang Zhang (ACM Multimedia, 2024)

ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-variable Context Encoding. - Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata (UAI, 2024)

VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness. - Rongyu Zhang; Zefan Cai; Huanrui Yang; Zidong Liu; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Baobao Chang; Yuan Du; Li Du; Shanghang Zhang (CoRR, 2024)

Fisher-aware Quantization for DETR Detectors with Critical-category Objectives. - Huanrui Yang; Yafeng Huang; Zhen Dong 003; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Yuan Du; Kurt Keutzer; Shanghang Zhang (CoRR, 2024)

SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference. - Yuan Zhang 020; Chun-Kai Fan; Junpeng Ma; Wenzhao Zheng; Tao Huang 020; Kuan Cheng; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Shanghang Zhang (CoRR, 2024)

DFM: Interpolant-free Dual Flow Matching. - Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata (CoRR, 2024)

SeRpEnt: Selective Resampling for Expressive State Space Models. - Stefano Rando; Luca Romani; Matteo Migliarini; Luca Franco; Denis A. Gudovskiy; Fabio Galasso (CoRR, 2025)

ODEt (ODEl): Shortcutting the Time and Length in Diffusion and Flow Models for Faster Sampling. - Denis A. Gudovskiy; Wenzhao Zheng; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer (CoRR, 2025)