Deep Learning | Dr.Alex

ML4AD Best Papers Award Ceremony

Tue, 04 Mar 2025 15:45:00 +0000

Presentation at Workshop on Machine Learning for Autonomous Driving (ML4AD) at the AAAI Conference on Artificial Intelligence (AAAI) 2025.

Intelligent Mapping Solutions

Tue, 04 Mar 2025 08:20:00 +0000

Presentation at Workshop on Out-of-Label Hazards in Autonomous Driving (COOOL) at the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025.

SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models

Fri, 28 Feb 2025 00:00:00 +0000

DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles

Thu, 27 Feb 2025 00:00:00 +0000

CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving

Fri, 14 Jun 2024 00:00:00 +0000

Multi-Constraint Safe RL with Objective Suppression for Safety-Critical Applications

Thu, 14 Dec 2023 00:00:00 +0000

Mutual modality learning for video action classification

Sat, 01 Jul 2023 00:00:00 +0000

Many Heads but One Brain: Fusion Brain - a Competition and a Single Multimodal Multitask Architecture

Sun, 01 Jan 2023 00:00:00 +0000

Nonparametric Uncertainty Quantification for Single Deterministic Neural Network

Thu, 01 Dec 2022 00:00:00 +0000

Smoothed Embeddings for Certified Few-Shot Learning

Thu, 01 Dec 2022 00:00:00 +0000

Mathematics and Theory in Deep Learning with Aleksandr Petiushko

Wed, 09 Nov 2022 00:00:00 +0000

I was invited by the Deep Learning School to talk about the importance of mathematics and theory knowledge when working inside ML/DL domain.

Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations

Sat, 23 Jul 2022 00:00:00 +0000

Quadric Hypersurface Intersection for Manifold Learning in Feature Space

Mon, 28 Mar 2022 00:00:00 +0000

CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks

Sat, 26 Feb 2022 00:00:00 +0000

Geometry-Inspired Top-K Adversarial Perturbations

Mon, 03 Jan 2022 00:00:00 +0000

Nonparametric Uncertainty Quantification for Single Deterministic Neural Network

Mon, 13 Dec 2021 00:00:00 +0000

Interviews in Deep Learning research with Aleksandr Petiushko

Fri, 03 Sep 2021 00:00:00 +0000

I was invited by the Deep Learning School to talk about the different stuff around ML/DL interviews, how to prepare, what to expect, etc.

Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation

Thu, 01 Jul 2021 00:00:00 +0000

Darker than Black-Box: Face Reconstruction from Similarity Queries

Tue, 01 Jun 2021 00:00:00 +0000

MDMMT: Multidomain Multimodal Transformer for Video Retrieval

Tue, 01 Jun 2021 00:00:00 +0000

AdvHat: Real-World Adversarial Attack on ArcFace Face ID System

Sun, 03 Jan 2021 00:00:00 +0000

Mentioned in video.

Robustness Threats of Differential Privacy

Fri, 11 Dec 2020 00:00:00 +0000

Artificial Intelligence: Problems and Prospects

Thu, 01 Oct 2020 00:00:00 +0000

Black-Box Face Recovery from Identity Features

Fri, 28 Aug 2020 00:00:00 +0000

On Adversarial Patches: Real-World Attack on ArcFace-100 Face Recognition System

Fri, 25 Oct 2019 00:00:00 +0000

Real-world Attack on MTCNN Face Detection System

Fri, 25 Oct 2019 00:00:00 +0000

Deep Learning methods for Computer Vision (updated)

Tue, 16 Apr 2019 00:00:00 +0000

Deep Learning methods for Computer Vision

Fri, 23 Nov 2018 00:00:00 +0000

Neural Nets recent success and introduction to FaceID

Tue, 20 Mar 2018 00:00:00 +0000

Neural Nets recent success

Fri, 17 Mar 2017 00:00:00 +0000