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08/15/2023
ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces
In recent years, neural implicit surface reconstruction has emerged as a...
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07/17/2023
Unified Open-Vocabulary Dense Visual Prediction
In recent years, open-vocabulary (OV) dense visual prediction (such as O...
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07/10/2023
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation
New lesion segmentation is essential to estimate the disease progression...
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07/07/2023
Open-Vocabulary Object Detection via Scene Graph Discovery
In recent years, open-vocabulary (OV) object detection has attracted inc...
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06/30/2023
Stitched ViTs are Flexible Vision Backbones
Large pretrained plain vision Transformers (ViTs) have been the workhors...
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04/24/2023
Explicit Correspondence Matching for Generalizable Neural Radiance Fields
We present a new generalizable NeRF method that is able to directly gene...
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03/09/2023
Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation
Weakly-supervised point cloud segmentation with extremely limited labels...
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02/13/2023
Stitchable Neural Networks
The public model zoo containing enormous powerful pretrained model famil...
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02/12/2023
Vector Quantized Wasserstein Auto-Encoder
Learning deep discrete latent presentations offers a promise of better s...
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01/18/2023
Class Enhancement Losses with Pseudo Labels for Zero-shot Semantic Segmentation
Recent mask proposal models have significantly improved the performance ...
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11/27/2022
Learning Object-Language Alignments for Open-Vocabulary Object Detection
Existing object detection methods are bounded in a fixed-set vocabulary ...
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11/12/2022
MARLIN: Masked Autoencoder for facial video Representation LearnINg
This paper proposes a self-supervised approach to learn universal facial...
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10/04/2022
Learning to Collocate Visual-Linguistic Neural Modules for Image Captioning
Humans tend to decompose a sentence into different parts like sth do sth...
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09/30/2022
ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing
Sketch-and-extrude is a common and intuitive modeling process in compute...
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09/19/2022
EcoFormer: Energy-Saving Attention with Linear Complexity
Transformer is a transformative framework that models sequential data an...
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09/19/2022
MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation
Although two-stage Vector Quantized (VQ) generative models allow for syn...
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08/23/2022
FocusFormer: Focusing on What We Need via Architecture Sampler
Vision Transformers (ViTs) have underpinned the recent breakthroughs in ...
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07/20/2022
Object-Compositional Neural Implicit Surfaces
The neural implicit representation has shown its effectiveness in novel ...
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07/19/2022
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation
Weakly supervised point cloud segmentation, i.e. semantically segmenting...
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05/26/2022
Fast Vision Transformers with HiLo Attention
Vision Transformers (ViTs) have triggered the most recent and significan...
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05/14/2022
Transformer Scale Gate for Semantic Segmentation
Effectively encoding multi-scale contextual information is crucial for a...
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04/15/2022
Image Captioning In the Transformer Age
Image Captioning (IC) has achieved astonishing developments by incorpora...
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04/05/2022
High-Quality Pluralistic Image Completion via Code Shared VQGAN
PICNet pioneered the generation of multiple and diverse results for imag...
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03/21/2022
Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields
Image translation and manipulation have gain increasing attention along ...
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03/02/2022
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation
Semi-supervised segmentation remains challenging in medical imaging sinc...
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01/18/2022
ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues
Object proposal generation is an important and fundamental task in compu...
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01/18/2022
Unpaired Referring Expression Grounding via Bidirectional Cross-Modal Matching
Referring expression grounding is an important and challenging task in c...
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12/31/2021
PiFeNet: Pillar-Feature Network for Real-Time 3D Pedestrian Detection from Point Cloud
We present PiFeNet, an efficient and accurate real-time 3D detector for ...
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11/24/2021
Sharpness-aware Quantization for Deep Neural Networks
Network quantization is an effective compression method to reduce the mo...
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11/22/2021
Mesa: A Memory-saving Training Framework for Transformers
There has been an explosion of interest in designing high-performance Tr...
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11/10/2021
Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) is a task that an agent is required...
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09/21/2021
Enforcing Mutual Consistency of Hard Regions for Semi-supervised Medical Image Segmentation
In this paper, we proposed a novel mutual consistency network (MC-Net+) ...
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08/24/2021
Auto-Parsing Network for Image Captioning and Visual Question Answering
We propose an Auto-Parsing Network (APN) to discover and exploit the inp...
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08/19/2021
Semantic Compositional Learning for Low-shot Scene Graph Generation
Scene graphs provide valuable information to many downstream tasks. Many...
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08/06/2021
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Currently, the state-of-the-art methods treat few-shot semantic segmenta...
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08/03/2021
Elastic Architecture Search for Diverse Tasks with Different Resources
We study a new challenging problem of efficient deployment for diverse t...
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07/27/2021
Remember What You have drawn: Semantic Image Manipulation with Memory
Image manipulation with natural language, which aims to manipulate image...
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07/26/2021
Towards Unbiased Visual Emotion Recognition via Causal Intervention
Although much progress has been made in visual emotion recognition, rese...
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07/24/2021
Multi-Label Image Classification with Contrastive Learning
Recently, as an effective way of learning latent representations, contra...
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06/25/2021
Half-body Portrait Relighting with Overcomplete Lighting Representation
We present a neural-based model for relighting a half-body portrait imag...
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06/18/2021
RSG: A Simple but Effective Module for Learning Imbalanced Datasets
Imbalanced datasets widely exist in practice and area great challenge fo...
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05/29/2021
Less is More: Pay Less Attention in Vision Transformers
Transformers have become one of the dominant architectures in deep learn...
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05/04/2021
End-to-end One-shot Human Parsing
Previous human parsing models are limited to parsing humans into pre-def...
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04/12/2021
Visiting the Invisible: Layer-by-Layer Completed Scene Decomposition
Existing scene understanding systems mainly focus on recognizing the vis...
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04/02/2021
The Spatially-Correlative Loss for Various Image Translation Tasks
We propose a novel spatially-correlative loss that is simple, efficient ...
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04/02/2021
TFill: Image Completion via a Transformer-Based Architecture
Bridging distant context interactions is important for high quality imag...
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03/19/2021
Scalable Visual Transformers with Hierarchical Pooling
The recently proposed Visual image Transformers (ViT) with pure attentio...
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03/05/2021
Causal Attention for Vision-Language Tasks
We present a novel attention mechanism: Causal Attention (CATT), to remo...
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03/04/2021
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
Semi-supervised learning has attracted great attention in the field of m...
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01/13/2021
