Zhijian Liu
26 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (7) π Interdisciplinary Bridge π Academic Marathon (7) π Conference Polyglot (7) πΊοΈ Taxonomy Completionist (40)
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Academic Marathon
(7)
πΊοΈ
Taxonomy Completionist
(40)
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Interdisciplinary Bridge
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Keyword Trendsetter Combo
(3)
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Grand Slam
π₯
Mega-Team
(25)
π€
Dynamic Duo
(19)
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Century Club
(25)
ποΈ
Keyword Collector
(97)
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Conference Pioneer
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Trend Setter
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Prolific Year
(6)
Conferences
CVPR (8)
ECCV (5)
ICCV (4)
NIPS (4)
ICLR (2)
AAAI (1)
ACL (1)
ICML (1)
Top co-authors
Research topics
Keywords
efficient computing
(5)
neural architecture search
(3)
model compression
(3)
point cloud
(3)
semantic segmentation
(3)
window attention
(2)
evolutionary search
(2)
neural network
(2)
image generation
(2)
model quantization
(2)
pose estimation
(2)
transformer architecture
(2)
object detection
(2)
contrastive learning
(2)
diffusion model
(2)
efficient inference
(2)
reinforcement learning
(2)
generative adversarial network
(2)
representation learning
(2)
medical imaging
(1)
Papers
PFAvatar: Pose-Fusion 3D Personalized Avatar Reconstruction from Real-World Outfit-of-the-Day Photos
AAAI 2026
SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity
ICML 2025
LongVILA: Scaling Long-Context Visual Language Models for Long Videos
ICLR 2025
NVILA: Efficient Frontier Visual Language Models
CVPR 2025
VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge
CVPR 2025
StreamDiffusion: A Pipeline-level Solution for Real-Time Interactive Generation
ICCV 2025
SparseVILA: Decoupling Visual Sparsity for Efficient VLM Inference
ICCV 2025
Point Transformer V3: Simpler Faster Stronger
CVPR 2024
Sparse Refinement for Efficient High-Resolution Semantic Segmentation
ECCV 2024
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
ICLR 2024
MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models
ICCV 2023
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
CVPR 2023
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer
CVPR 2023
LocTex: Learning Data-Efficient Visual Representations From Localized Textual Supervision
ICCV 2021
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
CVPR 2020
DataMix: Efficient Privacy-Preserving Edge-Cloud Inference
ECCV 2020
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
ECCV 2020
Differentiable Augmentation for Data-Efficient GAN Training
NIPS 2020
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
ACL 2020
GAN Compression: Efficient Architectures for Interactive Conditional GANs
CVPR 2020
Deep Leakage from Gradients
NIPS 2019
Point-Voxel CNN for Efficient 3D Deep Learning
NIPS 2019
HAQ: Hardware-Aware Automated Quantization With Mixed Precision
CVPR 2019
Physical Primitive Decomposition
ECCV 2018
Learning to Exploit Stability for 3D Scene Parsing
NIPS 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
ECCV 2018