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10/18/2022
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations
Although reinforcement learning has found widespread use in dense reward...
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10/14/2022
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks
We propose learnable polyphase sampling (LPS), a pair of learnable down/...
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10/11/2022
Controllable Radiance Fields for Dynamic Face Synthesis
Recent work on 3D-aware image synthesis has achieved compelling results ...
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10/09/2022
Learning to Decompose Visual Features with Latent Textual Prompts
Recent advances in pre-training vision-language models like CLIP have sh...
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08/04/2022
Occupancy Planes for Single-view RGB-D Human Reconstruction
Single-view RGB-D human reconstruction with implicit functions is often ...
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07/28/2022
Initialization and Alignment for Adversarial Texture Optimization
While recovery of geometry from image and video data has received a lot ...
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07/14/2022
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
We present XMem, a video object segmentation architecture for long video...
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05/30/2022
Neural Volumetric Object Selection
We introduce an approach for selecting objects in neural volumetric 3D r...
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05/12/2022
Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language
To solve difficult tasks, humans ask questions to acquire knowledge from...
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04/07/2022
Total Variation Optimization Layers for Computer Vision
Optimization within a layer of a deep-net has emerged as a new direction...
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04/07/2022
Equivariance Discovery by Learned Parameter-Sharing
Designing equivariance as an inductive bias into deep-nets has been a pr...
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12/20/2021
Mask2Former for Video Instance Segmentation
We find Mask2Former also achieves state-of-the-art performance on video ...
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12/03/2021
Class-agnostic Reconstruction of Dynamic Objects from Videos
We introduce REDO, a class-agnostic framework to REconstruct the Dynamic...
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12/02/2021
Masked-attention Mask Transformer for Universal Image Segmentation
Image segmentation is about grouping pixels with different semantics, e....
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08/06/2021
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning
Solving complex real-world tasks, e.g., autonomous fleet control, often ...
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07/23/2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Exploration is critical for good results in deep reinforcement learning ...
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07/13/2021
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Modern approaches typically formulate semantic segmentation as a per-pix...
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05/31/2021
Robustifying ℓ_∞ Adversarial Training to the Union of Perturbation Models
Classical adversarial training (AT) frameworks are designed to achieve h...
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05/18/2021
SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data
Extracting detailed 3D information of objects from video data is an impo...
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05/13/2021
3D Spatial Recognition without Spatially Labeled 3D
We introduce WyPR, a Weakly-supervised framework for Point cloud Recogni...
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05/13/2021
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization
The recent growth of web video sharing platforms has increased the deman...
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02/01/2021
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation
Controllable semantic image editing enables a user to change entire imag...
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12/17/2020
High-Throughput Synchronous Deep RL
Deep reinforcement learning (RL) is computationally demanding and requir...
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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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07/02/2020
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning
Existing semi-supervised learning (SSL) algorithms use a single weight t...
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04/27/2020
Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning?
Combinatorial optimization is frequently used in computer vision. For in...
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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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10/31/2019
Chirality Nets for Human Pose Regression
We propose Chirality Nets, a family of deep nets that is equivariant to ...
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10/31/2019
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning
Sample efficiency and scalability to a large number of agents are two im...
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10/31/2019
Co-Generation with GANs using AIS based HMC
Inferring the most likely configuration for a subset of variables of a j...
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10/31/2019
TAB-VCR: Tags and Attributes based VCR Baselines
Reasoning is an important ability that we learn from a very early age. Y...
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07/13/2019
FMRI data augmentation via synthesis
We present an empirical evaluation of fMRI data augmentation via synthes...
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04/11/2019
Knowledge Flow: Improve Upon Your Teachers
A zoo of deep nets is available these days for almost any given task, an...
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11/01/2018
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering
Accurately answering a question about a given image requires combining o...
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09/06/2018
Structural Consistency and Controllability for Diverse Colorization
Colorizing a given gray-level image is an important task in the media an...
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09/04/2018
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering
Question answering is an important task for autonomous agents and virtua...
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09/04/2018
Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation
Unsupervised video segmentation plays an important role in a wide variet...
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09/04/2018
VideoMatch: Matching based Video Object Segmentation
Video object segmentation is challenging yet important in a wide variety...
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09/03/2018
Diverse and Coherent Paragraph Generation from Images
Paragraph generation from images, which has gained popularity recently, ...
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03/29/2018
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts
Textual grounding is an important but challenging task for human-compute...
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03/29/2018
MaskRNN: Instance Level Video Object Segmentation
Instance level video object segmentation is an important technique for v...
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03/29/2018
Unsupervised Textual Grounding: Linking Words to Image Concepts
Textual grounding, i.e., linking words to objects in images, is a challe...
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11/19/2017
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space
This paper explores image caption generation using conditional variation...
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11/12/2017
High-Order Attention Models for Visual Question Answering
The quest for algorithms that enable cognitive abilities is an important...
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11/05/2016
Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening
We propose a novel training algorithm for reinforcement learning which c...
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07/26/2016
Semantic Image Inpainting with Deep Generative Models
Semantic image inpainting is a challenging task where large missing regi...
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05/12/2015
Monocular Object Instance Segmentation and Depth Ordering with CNNs
In this paper we tackle the problem of instance-level segmentation and d...
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03/09/2015