Ali Thabet
21 papers · 2015–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (10) π Renaissance Researcher (5) π Conference Polyglot (8) πΊοΈ Taxonomy Completionist (44)
πΊοΈ
Taxonomy Completionist
(44)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(14)
π
Grand Slam
π§¬
Topic Evolution
β
The Questioner
ποΈ
Keyword Collector
(92)
π
Century Club
(21)
π₯
Unstoppable
(7)
Conferences
CVPR (7)
ECCV (3)
AAAI (2)
ICCV (2)
ICLR (2)
NIPS (2)
WACV (2)
ICML (1)
Top co-authors
Keywords
graph convolutional network
(4)
image generation
(3)
diffusion model
(3)
neural architecture search
(2)
diffusion transformer
(2)
point cloud
(2)
neural network
(2)
semantic segmentation
(2)
efficient computing
(2)
inference efficiency
(2)
feature extraction
(1)
model distillation
(1)
video understanding
(1)
pose estimation
(1)
3d reconstruction
(1)
weakly supervised learning
(1)
model robustness
(1)
deep learning
(1)
neural rendering
(1)
video generation
(1)
Papers
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute
CVPR 2025
Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment
ICLR 2025
Autoregressive Distillation of Diffusion Transformers
CVPR 2025
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models
AAAI 2025
StyleAvatar: Stylizing Animatable Head Avatars
WACV 2024
Bespoke Solvers for Generative Flow Models
ICLR 2024
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models
ICML 2024
Re-ReND: Real-Time Rendering of NeRFs across Devices
ICCV 2023
Avatars Grow Legs: Generating Smooth Human Motion From Sparse Tracking Inputs With Diffusion Model
CVPR 2023
VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids
NIPS 2022
Combating Adversaries with Anti-adversaries
AAAI 2022
MovieCuts: A New Dataset and Benchmark for Cut Type Recognition
ECCV 2022
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
NIPS 2021
PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks
CVPR 2021
RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization
WACV 2021
G-TAD: Sub-Graph Localization for Temporal Action Detection
CVPR 2020
Gabor Layers Enhance Network Robustness
ECCV 2020
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
ECCV 2020
SGAS: Sequential Greedy Architecture Search
CVPR 2020
DeepGCNs: Can GCNs Go As Deep As CNNs?
ICCV 2019
Robust Manhattan Frame Estimation From a Single RGB-D Image
CVPR 2015