Good Papers

Showing Pose & motion Show all papers

45%Niche pick
?Niche pickVote to see the score

RadarFlowPose: Vision-Inspired Coarse-to-Fine Skeleton Refinement with Flow Matching

Kailu Guo, Akram Alomainy, Khalid Z Rajab

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

PosePlaner: Denoising Any Feedforward Pose Predictor from Pairwise Planar Geometry

Yihang Chen, Bin Tan, Yujun Shen, Yinghao Xu and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Exploring Multi-Order Self-Similarity for Motion Understanding

Manjin Kim, Heeseung Kwon, Karteek Alahari, Minsu Cho

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Distributional Estimation of 3D Object Orientation

Minjoon Kim, Chunghyun Park, Minsu Cho

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

EgoHMP: Achieving Precise Human Motion Prediction in 3D Scenes via Egocentric Cues

Xin Zhao, Pengzhan Zhou, Ziyi Li, Riheng Jia and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Less is More: Compact-Token Masked Feature Learning for Skeleton Representation Learning

Jeonghyeok Do, Yun Chen, Geunhyuk Youk, Munchurl Kim

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

HOGWARTS: Mitigating Perspective Distortion for 6DoF Head Pose Estimation via Virtual Camera Space

Sungho Chun, Ju Yong Chang

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

ChildPose: Foundation for Children Pose Modeling

Jiakai Chen, Yifan Shen, Boyi Li, Chuanmiao Dong and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

DopplerWild: A Doppler Dataset and Benchmark for Human Kinematic Understanding in the Wild

Shubo Yang, Aaron Wang, Narayan Schütz, Jida Zhang and 4 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Mouse Total Capture: A multi-view Dataset for 3D Motion and Expression Capture of Freely Moving Mouse

Jiachen Zhao, He Zhang, Liang An, Tao Yu

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

FlowMoP: Stochastic Multi-Person Motion Prediction

Aadya Agrawal, Ho Kei Cheng, Alex Schwing

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

Learning Scene-Grounded Interaction Priors for Scene-Aware Human Motion Prediction

Donghyeon Soon, Yoon JI- Il, Hyeondong Kim, Daehee Park

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

PGGT-Loc: Primitive-Grounded Geometry Transformer for Feed-Forward Camera Localization

Hanqiao Ye, Yuzhou Liu, Mengqi Rong, Jian Liu and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

FlyingDrones: A Dataset and Benchmark for Optical Flow Estimation from UAV motion

Laurenz Ruzicka, Roman Pflugfelder, Daniel Cremers

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

ContinuLoc: Continuous Pose Inference over Neural Fields for UAV Geo-Localization

Weikun Zhou, Jinliang Lin, Yu Zang, Lin Xie and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Towards Complementary Keypoint Detection via Mixture of Detectors

Xiaoyong Lu, Guobao Xiao, Dong Liang, Songlin Du

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
76%Highly rated
?Highly ratedVote to see the score

ComPose: When to Trust Hands for Object Pose Tracking

ComPose tracks 6DoF object pose in RGB video by using hand motions as complementary cues, achieving robust accuracy under severe occlusion without external priors.

Jisu Shin, Junoh Lee, JunGyu Lee, Inhwan Bae and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
86%Must read
?Must readVote to see the score

MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction

MolmoMotion predicts goal-conditioned 3D point trajectories from visual history and language, outperforming baselines on PointMotionBench and improving robot manipulation and video synthesis.

Jianing Zhang, Chenhao Zheng, Yajun Yang, Rustin Soraki and 6 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 53 on Hugging Face · Code ★ 151

– ReadersNo votes yet
14/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
76%Highly rated
?Highly ratedVote to see the score

GenCOPE: Syn2Real Generalized Category-Level Object Pose Estimation for Robotic Picking

GenCOPE achieves synthetic-to-real generalized category-level object pose estimation via 2D/3D semantic consistency and cross-modality fusion using only global features, outperforming prior methods on REAL275 and Wild6D.

Jian Liu, Wei Sun, Zhenqi Dai, Hui Yang and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
88%Must read
?Must readVote to see the score

Emergence of a Shared Canonical Object Frame from In-the-Wild Videos

Self-supervised training on 160,000 in-the-wild videos via a shared coarse mesh yields emergent canonical object frames without pose labels, matching supervised category-level pose estimation accuracy.

Tom Fischer, Martin Sundermeyer, Adam Kortylewski, Eddy Ilg

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
15/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5
72%Highly rated
?Highly ratedVote to see the score

SimpliHuMoN: Simplifying Human Motion Prediction

SimpliHuMoN is a simple transformer that predicts human pose and trajectory together, achieving state-of-the-art results across standard benchmarks without task-specific modifications.

Aadya Agrawal, Alex Schwing

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
8/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 0/5
89%Must read
?Must readVote to see the score

The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction

ViDiHand leverages pretrained video diffusion models to reconstruct 4D hand poses directly from full egocentric video without detectors, substantially outperforming prior methods on ARCTIC, HOT3D, and HOI4D.

Yuxi Wang, Chengkai Jin, Yufei Liu, Wenqi Ouyang and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 9 on Hugging Face · Code ★ 187

– ReadersNo votes yet
16/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
80%Must read
?Must readVote to see the score

OmniEgoCap: Camera-Agnostic Sequence-Level Egocentric Motion Reconstruction

OmniEgoCap uses sequence-level diffusion with geometry-aware augmentation for camera-agnostic egocentric full-body motion and shape reconstruction.

Kyungwon Cho, Jeonghyeon Na, Hanbyul Joo

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
80%Must read
?Must readVote to see the score

ProxyPose: 6-DoF Pose Tracking via Video-to-Video Translation

ProxyPose recasts 6-DoF pose tracking as video-to-video translation using a diffusion model to generate proxy videos for classical pose estimation, achieving state-of-the-art accuracy without 3D models or masks.

Ruihang Zhang, Felix Taubner, Pooja Ravi, Kyros Kutulakos and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 2/5
76%Highly rated
?Highly ratedVote to see the score

Articulation in Prime: Primitive-Based Articulated Object Understanding from a Single Casual Video

A primitive-fitting framework recovers articulated object kinematics from single casual videos via joint optimization of part segmentation and joint parameters under occlusions.

Arslan Artykov, Tom Ravaud, Nicolás Violante, Vincent Lepetit

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5
88%Must read
?Must readVote to see the score

AnyHand: A Large-Scale Synthetic Dataset for RGB(-D) Hand Pose Estimation

AnyHand provides 6.6M synthetic RGB-D hand images with occlusions and aligned depth, significantly improving 3D hand pose estimation benchmarks and showing data diversity rivals scale.

Chen Si, Yulin Liu, Bo Ai, Jianwen Xie and 3 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

– ReadersNo votes yet
15/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 2/5
89%Must read
?Must readVote to see the score

StableHand: Quality-Aware Flow Matching for World-Space Dual-Hand Motion Estimation from Egocentric Video

StableHand estimates world-space dual-hand motion from egocentric video via quality-aware flow matching, cutting W-MPJPE by 20-25% over baselines on occluded benchmarks.

Huajian Zeng, Chaohua Yao, Yuantai Zhang, Jiaqi Yang and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
16/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 2/5
78%Highly rated
?Highly ratedVote to see the score

COMPOSE: Hypergraph Cover Optimization for Multi-view 3D Human Pose Estimation

COMPOSE recasts multi-view 3D pose estimation as hypergraph exact-cover optimization, improving training-free average precision by up to 31 points over prior optimization methods.

Tony Danjun Wang, Tolga Birdal, Nassir Navab, Lennart Bastian

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5
86%Must read
?Must readVote to see the score

MoSE3: Learning World-Space SE(3) at Every Pixel

MoSE3 predicts dense per-pixel world-space SE(3) motion from monocular video via point tracks and rigidity embeddings, achieving state-of-the-art 6-DoF estimation and 3D tracking.

Jiahuan Cheng, Zhiyi Li, Tian Xia, Ruojin Cai and 2 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face

– ReadersNo votes yet
14/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 3/5