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04/24/2023
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence
Real-time and robust photorealistic avatars for telepresence in AR/VR ha...
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03/31/2023
DIME-FM: DIstilling Multimodal and Efficient Foundation Models
Large Vision-Language Foundation Models (VLFM), such as CLIP, ALIGN and ...
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12/05/2022
INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors
We present a method that accelerates reconstruction of 3D scenes and obj...
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11/18/2022
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference
Vision Transformers (ViTs) have shown impressive performance but still r...
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11/16/2022
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse
Real-time multi-model multi-task (MMMT) workloads, a new form of deep le...
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11/12/2022
3D-Aware Encoding for Style-based Neural Radiance Fields
We tackle the task of NeRF inversion for style-based neural radiance fie...
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10/31/2022
UmeTrack: Unified multi-view end-to-end hand tracking for VR
Real-time tracking of 3D hand pose in world space is a challenging probl...
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10/17/2022
Token Merging: Your ViT But Faster
We introduce Token Merging (ToMe), a simple method to increase the throu...
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10/09/2022
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP
Open-vocabulary semantic segmentation aims to segment an image into sema...
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09/15/2022
Hydra Attention: Efficient Attention with Many Heads
While transformers have begun to dominate many tasks in vision, applying...
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12/17/2021
Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation
Traditional computer vision models are trained to predict a fixed set of...
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11/19/2021
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run
Neural Architecture Search (NAS) has been widely adopted to design accur...
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04/18/2021
Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation
Traditional computer vision models are trained to predict a fixed set of...
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02/18/2021
Unbiased Teacher for Semi-Supervised Object Detection
Semi-supervised learning, i.e., training networks with both labeled and ...
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12/01/2020
Low Bandwidth Video-Chat Compression using Deep Generative Models
To unlock video chat for hundreds of millions of people hindered by poor...
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11/25/2020
FBWave: Efficient and Scalable Neural Vocoders for Streaming Text-To-Speech on the Edge
Nowadays more and more applications can benefit from edge-based text-to-...
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11/22/2020
FP-NAS: Fast Probabilistic Neural Architecture Search
Differential Neural Architecture Search (NAS) requires all layer choices...
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08/27/2020
One Shot 3D Photography
3D photography is a new medium that allows viewers to more fully experie...
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07/17/2020
Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild
We present a novel 3D pose refinement approach based on differentiable r...
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06/05/2020
Visual Transformers: Token-based Image Representation and Processing for Computer Vision
Computer vision has achieved great success using standardized image repr...
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06/03/2020
FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function
Neural Architecture Search (NAS) yields state-of-the-art neural networks...
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04/12/2020
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
Differentiable Neural Architecture Search (DNAS) has demonstrated great ...
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11/06/2019
MLPerf Inference Benchmark
Machine-learning (ML) hardware and software system demand is burgeoning....
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12/21/2018
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation
This paper proposes an efficient neural network (NN) architecture design...
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12/09/2018
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
Designing accurate and efficient ConvNets for mobile devices is challeng...
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11/30/2018
