Naveed Akhtar
28 papers · 2015–2026 · 8 venues · across top CS/AI venues
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Research topics
Computer Vision
(16)
Deep Learning
(15)
Machine Learning
(15)
Artificial Intelligence
(14)
Core AI
(13)
Analysis
(11)
Learning Types Β· Deep Learning
(8)
Architectures
(7)
Core Methods
(6)
Application Areas
(5)
Learning Types Β· Machine Learning
(5)
Optimization & Theory
(5)
Processing
(5)
Domain-Specific
(3)
Models
(3)
Keywords
feature attribution
(5)
image classification
(3)
adversarial attack
(3)
diffusion model
(3)
path attribution
(2)
model interpretation
(2)
point cloud segmentation
(2)
semantic segmentation
(2)
convolutional neural network
(2)
3d object classification
(2)
point cloud
(2)
feature visualization
(2)
point cloud processing
(2)
3d point cloud
(2)
adversarial robustness
(2)
3d object detection
(2)
self-supervised learning
(2)
representation learning
(2)
spurious correlation
(2)
visual model
(2)
Papers
Attribution-Guided Model Rectification of Unreliable Neural Network Behaviors
CVPR 2026
Attention-Guided Vector Quantized Variational Autoencoder for Brain Tumor Segmentation
MICCAI 2025
Beyond Human Perception: Understanding Multi-Object World from Monocular View
CVPR 2025
DDB: Diffusion Driven Balancing to Address Spurious Correlations
ICCV 2025
GO-N3RDet: Geometry Optimized NeRF-enhanced 3D Object Detector
CVPR 2025
Mono3DVLT: Monocular-Video-Based 3D Visual Language Tracking
CVPR 2025
Plug-and-Play Interpretable Responsible Text-to-Image Generation via Dual-Space Multi-facet Concept Control
CVPR 2025
Skip Mamba Diffusion for Monocular 3D Semantic Scene Completion
AAAI 2025
Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding
AAAI 2024
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density
ECCV 2024
AShapeFormer: Semantics-Guided Object-Level Active Shape Encoding for 3D Object Detection via Transformers
CVPR 2023
Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility
AAAI 2023
Local Path Integration for Attribution
AAAI 2023
Re-calibrating Feature Attributions for Model Interpretation
ICLR 2023
Rethinking Interpretation: Input-Agnostic Saliency Mapping of Deep Visual Classifiers
AAAI 2023
Towards credible visual model interpretation with path attribution
ICML 2023
Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds
CVPR 2022
Transferable 3D Adversarial Textures Using End-to-End Optimization
WACV 2022
CAMERAS: Enhanced Resolution and Sanity Preserving Class Activation Mapping for Image Saliency
CVPR 2021
Picasso: A CUDA-Based Library for Deep Learning Over 3D Meshes
CVPR 2021
Attack to Explain Deep Representation
CVPR 2020
SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical Kernel
CVPR 2020
Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking
ECCV 2020
Octree Guided CNN With Spherical Kernels for 3D Point Clouds
CVPR 2019
Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning
CVPR 2019
Defense Against Universal Adversarial Perturbations
CVPR 2018
Joint Discriminative Bayesian Dictionary and Classifier Learning
CVPR 2017
Bayesian Sparse Representation for Hyperspectral Image Super Resolution
CVPR 2015