Search Results for author:
Found 11 papers, 1 papers with code
Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis
Relevant literature has claimed contradictory remarks in support of and against the robustness of over-parameterized networks.
HandS3C: 3D Hand Mesh Reconstruction with State Space Spatial Channel Attention from RGB images
Reconstructing the hand mesh from one single RGB image is a challenging task because hands are often occluded by other objects.
Hardening RGB-D Object Recognition Systems against Adversarial Patch Attacks
We empirically show that this defense improves the performances of RGB-D systems against adversarial examples even when they are computed ad-hoc to circumvent this detection mechanism, and that is also more effective than adversarial training.
Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference
Adversarial reprogramming allows repurposing a machine-learning model to perform a different task.
Revisiting Pixel-Wise Supervision for Face Anti-Spoofing
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from the presentation attacks (PAs).
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition
In human action recognition, current works introduce a dynamic graph generation mechanism to better capture the underlying semantic skeleton connections and thus improves the performance.
Ranked #57 on
Skeleton Based Action Recognition
on NTU RGB+D 120
Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition
In this paper, we analyze the influence of learning complexity, including the input complexity and model complexity, and discover that the lower-resolution input data and shallower-architecture model are helpful to ease the degradation of deep models in composite-database task.
Micro Expression Recognition
Micro-Expression Recognition
+1
3D Face Mask Presentation Attack Detection Based on Intrinsic Image Analysis
So, we propose a novel detection method for 3D face mask presentation attack by modeling reflectance differences based on intrinsic image analysis.
Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions
To exploit the merits of deep learning, we propose a novel deep recurrent convolutional networks based micro-expression recognition approach, capturing the spatial-temporal deformations of micro-expression sequence.
Face Presentation Attack Detection in Learned Color-liked Space
Face presentation attack detection (PAD) has become a thorny problem for biometric systems and numerous countermeasures have been proposed to address it.
Face Presentation Attack Detection
Generative Adversarial Network
+1
Unsupervised Deep Hashing for Large-scale Visual Search
Learning based hashing plays a pivotal role in large-scale visual search.
