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08/08/2023
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection
False negatives (FN) in 3D object detection, e.g., missing predictions o...
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08/04/2023
FB-BEV: BEV Representation from Forward-Backward View Transformations
View Transformation Module (VTM), where transformations happen between m...
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07/04/2023
FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation
This technical report summarizes the winning solution for the 3D Occupan...
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06/27/2023
Differentially Private Video Activity Recognition
In recent years, differential privacy has seen significant advancements ...
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05/03/2023
Real-Time Radiance Fields for Single-Image Portrait View Synthesis
We present a one-shot method to infer and render a photorealistic 3D rep...
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03/04/2023
Prismer: A Vision-Language Model with An Ensemble of Experts
Recent vision-language models have shown impressive multi-modal generati...
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02/23/2023
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion
Humans can easily imagine the complete 3D geometry of occluded objects a...
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02/09/2023
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning
Augmenting pretrained language models (LMs) with a vision encoder (e.g.,...
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01/10/2023
Vision Transformers Are Good Mask Auto-Labelers
We propose Mask Auto-Labeler (MAL), a high-quality Transformer-based mas...
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10/23/2022
1st Place Solution of The Robust Vision Challenge (RVC) 2022 Semantic Segmentation Track
This report describes the winning solution to the semantic segmentation ...
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09/15/2022
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models
Pre-trained vision-language models (e.g., CLIP) have shown promising zer...
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08/21/2022
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition
3D Point cloud is becoming a critical data representation in many real-w...
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08/03/2022
MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training
We propose MinVIS, a minimal video instance segmentation (VIS) framework...
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07/04/2022
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks
Given a small training data set and a learning algorithm, how much more ...
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05/27/2022
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions
A significant gap remains between today's visual pattern recognition mod...
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04/26/2022
Understanding The Robustness in Vision Transformers
Recent studies show that Vision Transformers(ViTs) exhibit strong robust...
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04/24/2022
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
Reasoning about visual relationships is central to how humans interpret ...
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04/11/2022
M^2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation
In this paper, we propose M^2BEV, a unified framework that jointly perfo...
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02/24/2022
FreeSOLO: Learning to Segment Objects without Annotations
Instance segmentation is a fundamental vision task that aims to recogniz...
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10/26/2021
AugMax: Adversarial Composition of Random Augmentations for Robust Training
Data augmentation is a simple yet effective way to improve the robustnes...
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09/08/2021
Panoptic SegFormer
We present Panoptic SegFormer, a general framework for end-to-end panopt...
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06/22/2021
Towards Reducing Labeling Cost in Deep Object Detection
Deep neural networks have reached very high accuracy on object detection...
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06/17/2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
Generalization has been a long-standing challenge for reinforcement lear...
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06/09/2021
Practical Machine Learning Safety: A Survey and Primer
The open-world deployment of Machine Learning (ML) algorithms in safety-...
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05/31/2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
We present SegFormer, a simple, efficient yet powerful semantic segmenta...
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05/13/2021
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
We introduce DiscoBox, a novel framework that jointly learns instance se...
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04/12/2021
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection
Training on datasets with long-tailed distributions has been challenging...
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04/06/2021
Contrastive Syn-to-Real Generalization
Training on synthetic data can be beneficial for label or data-scarce sc...
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10/21/2020
UFO^2: A Unified Framework towards Omni-supervised Object Detection
Existing work on object detection often relies on a single form of annot...
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10/08/2020
Distributionally Robust Learning for Unsupervised Domain Adaptation
We propose a distributionally robust learning (DRL) method for unsupervi...
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10/02/2020
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
Humans have an inherent ability to learn novel concepts from only a few ...
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08/21/2020
Delving Deeper into Anti-aliasing in ConvNets
Aliasing refers to the phenomenon that high frequency signals degenerate...
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07/20/2020
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification
Although a significant progress has been witnessed in supervised person ...
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07/17/2020
Unsupervised Controllable Generation with Self-Training
Recent generative adversarial networks (GANs) are able to generate impre...
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07/17/2020
Neural Networks with Recurrent Generative Feedback
Neural networks are vulnerable to input perturbations such as additive n...
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07/14/2020
Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter
Conventional CNNs for texture synthesis consist of a sequence of (de)-co...
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07/14/2020
Automated Synthetic-to-Real Generalization
Models trained on synthetic images often face degraded generalization to...
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06/28/2020
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation
Although having achieved great success in medical image segmentation, de...
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04/09/2020
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
Weakly supervised learning has emerged as a compelling tool for object d...
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12/04/2019
Angular Visual Hardness
Although convolutional neural networks (CNNs) are inspired by the mechan...
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08/26/2019
Confidence Regularized Self-Training
Recent advances in domain adaptation show that deep self-training presen...
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06/12/2019
Compressive Hyperspherical Energy Minimization
Recent work on minimum hyperspherical energy (MHE) has demonstrated its ...
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04/15/2019
Joint Discriminative and Generative Learning for Person Re-identification
Person re-identification (re-id) remains challenging due to significant ...
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11/28/2018
Partial Convolution based Padding
In this paper, we present a simple yet effective padding scheme that can...
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10/18/2018
Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training
Recent deep networks achieved state of the art performance on a variety ...
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08/06/2018
Simultaneous Edge Alignment and Learning
Edge detection is among the most fundamental vision problems for its rol...
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05/23/2018
Learning towards Minimum Hyperspherical Energy
Neural networks are a powerful class of nonlinear functions that can be ...
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04/22/2018
Decoupled Networks
Inner product-based convolution has been a central component of convolut...
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04/05/2018
Learning Strict Identity Mappings in Deep Residual Networks
A family of super deep networks, referred to as residual networks or Res...
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11/08/2017