Back to Search
Author profile
Affiliations
Documents
EE2-3.5: On POC conditions of BDOF
Non-EE2: On POC conditions of BDOF
EE2-3.9: Affine candidates derived from temporal collocated pictures
AHG15: Improved versions of gaming content sequences by Huawei
AHG15: Description of the auxiliary information for the gaming content sequences proposed by Huawei
AHG15: Description of the gaming content sequences proposed by Huawei
Non-EE2: affine candidates derived from temporal collocated picture
Crosscheck of JVET-AH0153 (EE2-6.3 related: Combination of EE2-6.1 and EE2-6.2 on entropy coding extension - retraining)
EE2-2.10f: MR-SAD/SATD based IntraTMP BV search with signalling and BV reordering
EE2-2.10g: combination test of EE2-2.10d and EE2-2.11c
EE2-2.10a and 2.10d: SATD based IntraTMP BV search without signalling and BV reordering
EE2-2.10h: MR-SAD/SATD based IntraTMP BV search with signalling and BV reordering with ARBVP for IntraTMP merge
EE2 Test 2.6g, 2.6h, 2.6i, 2.6j: Combination of tests on LIC improvement
Non-EE2: Slice based Rice parameter selection for transform skip residual coding
AHG15: Description of gaming content sequences proposed by Huawei
Non-EE2: Enhancements on IntraTMP
Non-EE2: FIBC Extension
EE2 Test 2.3, 2.4, 2.6b: LIC with multiple templates and slope adjustment
Crosscheck of JVET-AG0135 (EE2-2.9: CIIP with subblock-based motion compensation)
EE2: Test 2.1, 2.2, 2.5, 2.6a, 2.6e and 2.6f on LIC improvement
EE2-1.17: IBC GPM with block vector difference and split mode reordering
EE2-1.16: IBC LIC with slope adjustment
Non-EE2: slope adjustment for IBC LIC
Non-EE2: extensions of IBC GPM
Non-EE2: Enhancements on local illumination compensation
EE2-Test4.1: Enabling template-based inter tools for the RPR
AHG6: ECM encoder memory reduction
EE2-5.3: Combination of Test 5.1b and Test 5.2c
Non-EE2: Enabling template-based inter tools for scaled reference pictures in the RPR
EE2-2.5: Filtered Intra Block Copy (FIBC)
EE2-2.6: IBC with non-adjacent spatial candidates
EE2-5.1: CCSAO with extended edge classifiers and history offsets
EE2-2.2/EE2-2.3/EE2-2.4: Bi-predictive IBC GPM, bi-predictive IBC, and IBC MBVD list derivation for camera captured and screen contents
EE2-2.9: Extended search areas for IntraTMP mode
Cross-check of JVET-AD0338 (Non-EE2: On MHP weight derivation)
EE2-related: Combination of JVET-AD0084, JVET-AD0117 and JVET-AD0214
AHG12: CCSAO with extended edge classifiers and history offsets
Non-EE2: IBC with non-adjacent spatial candidates
Non-EE2: On search region of intra template matching in ECM8.0
Cross-check of JVET-AD0182 ("EE2-2.1: On Affine DMVR", Test EE2-2.1c and Test EE2-2.1g)
EE2-1.8/1.9: IBC adaptation for coding of natural content
Non-EE2: Filtered Intra Block Copy (FIBC)
Non-EE2: Extension of IBC-GPM
EE2-2.12h: Combined test of Test 2.7 and Test 2.12a
EE2-Test2.7: Improvements on local illumination compensation
EE2-3.6: IBC-CIIP, IBC-GPM, and IBC-LIC
EE2-5.3: Combination Tests of 5.1 and 5.2
Non-EE2: Improvements on local illumination compensation in ECM7.0
Non-EE2: IBC with fractional block vectors
Non-EE2: On non-separable primary transform for intra blocks
Cross-check of JVET-AC0144 (EE2-2.1: affine DMVR)
EE2-5.1: Using prediction samples or residual samples for adaptive loop filter
EE2-1.13 and 1.14: CCCM using non-downsampled luma samples
Crosscheck of JVET-AB0166 (Non-EE2: Unified pruning of affine merge candidates derivation)
Non-EE2: Combined intra block copy and intra mode
Non-EE2: CCCM using non-downsampled luma samples
Non-EE2: Bi-predictive local illumination compensation
EE1-related: QP-based loss function design for NN-based in-loop filter
Non-EE2: Using prediction samples or residual samples for adaptive loop filter
Crosscheck of JVET-AB0140 (EE2-2.4: Combined test of Test 2.2 and Test 2.3 on BCW weights derivation)
EE2-related: On regression based affine candidate derivation
EE2-1.1b and 1.2: Filter-based linear model and gradient linear model
EE1: Summary of Exploration Experiments on Neural Network-based Video Coding
EE1-related: Deep In-Loop Filter in EE1-1.6 with Adaptive Input Samples
Non-EE2/AHG10: Improved inter hash RDO considering OBMC off in ECM5.0
EE2-1 related: Encoder optimization of EE2-1.2 and 1.3
EE2-1.1c, 1.3a and 1.3b: Combined tests of EE2-1.1a, 1.1b and 1.2
EE2-2.7: GPM adaptive blending (JVET-Z0059, JVET-Z0137)
Exploration Experiment on Neural Network-based Video Coding (EE1)
Crosscheck of JVET-Z0125 (EE2-related: Regression based affine candidate derivation)
AHG12: Enhanced CCLM
Non-EE2: Adaptive Blending for GPM
EE1: Summary of Exploration Experiments on Neural Network-based Video Coding
EE2-Test4.1: Improved probability estimation for CABAC
EE2-Test4.3: Combined tests of EE2-4.1 and EE2-4.2
EE2-2.7, 2.8, 2.9: History-parameter-based affine model inheritance and non-adjacent spatial neighbors for affine merge mode
Exploration Experiments on Neural Network-based Video Coding (EE1)
EE2-4.3 related: More combined test results for sign prediction
Crosscheck of JVET-Y0135 (Non-EE2: Template matching based reordering for GPM split modes)
AHG12: Bilinear Interpolation Filtering for ARMC
AHG12: Improved probability estimation for CABAC
AHG12: Enhanced bi-directional motion compensation
EE1: Summary of Exploration Experiments on Neural Network-based Video Coding
EE2-3.11: Non-adjacent spatial neighbors for affine merge mode
EE2-4.3: Combined Test Results of EE2-4.1 and EE2-4.2 on Sign Prediction
EE2-5.1: Edge-based classifier for Cross-component Sample Adaptive Offset (CCSAO)
EE2-4.2: Enhanced sign prediction
EE2-3.12b/c: A joint test of EE-2.3.11 and EE-2.3.12a
Exploration Experiments on Neural Network-based Video Coding (EE1)
AHG12: Edge Classifier for Cross-component Sample Adaptive Offset (CCSAO)
AHG12: On the PDPC handling in DIMD and TIMD
AHG12: CCSAO classification with edge information
AHG12: Removal of floating operations in DIMD and TIMD
AHG12: Non-adjacent spatial neighbors for affine merge mode
AHG12: Enhanced sign prediction
Crosscheck of JVET-X0100 (EE2-related: On propagating intra prediction mode for IBC)
EE1: Summary of Exploration Experiments on Neural Network-based Video Coding
Exploration Experiments on Neural Network-based Video Coding (EE1)
EE1: Summary of Exploration Experiments on Neural Network-based Video Coding
AHG8: On signalling of sps_ts_residual_coding_rice_present_in_sh_flag
EE2-5.1: Cross-component Sample Adaptive Offset
Exploration Experiments on Neural Network-based Video Coding (EE1)
CE-2.1: Slice based Rice parameter selection for transform skip residual coding
AHG12: Evaluation of GPM with MMVD for coding efficiency improvement over VVC
AHG12: Cross-component Sample Adaptive Offset
EE1: Summary of Exploration Experiments on Neural Network-based Video Coding
Exploration Experiments on Neural Network-based Video Coding
AHG8: SIMD support for VTM software at high bit-depth coding
AHG8: Combination of JVET-U0069 and CE-2.1
EE-2.1.5: In-loop filtering based on neural network
EE Summary Report: Neural Network-based Video Coding
CE-2.1: Slice based Rice parameter selection for transform skip residual coding
Description of Exploration Experiments on NN-based video coding
AHG11: In-loop filtering based on neural network
AHG9: On TMVP enabling flag in picture header
AHG9: On syntax signalling conditions in picture header
JVET AHG report: Tool reporting procedure and testing (AHG13)
Crosscheck of JVET-P0653 (Non-CE4: On BDOF and PROF parameter derivation)
Crosscheck of JVET-P0518 (AHG16/Non-CE4: Addressing 16-bit multiplication overflow issue of the PROF)
Crosscheck of JVET-P0530 (Non-CE4: Alignment of luma and chroma weight calculation for TPM blending)
Crosscheck of JVET-P0281 (Non-CE4: Corrections on parameter calculation for PROF and BDOF)
Crosscheck of JVET-P0172 (AHG16/Non-CE4: Prediction sample value clipping for PROF)
Crosscheck of JVET-P0094 (AHG16/Non-CE4: Fix on overflow issue in PROF)
CE4: Harmonization of BDOF and PROF (Test 4-2.1 and 4-2.2)
Joint solution for the reference picture conditions in DMVR and BDOF (JVET-P0089, JVET-P0191, JVET-P0311, JVET-P0415, JVET-P0546, JVET-P0598)
Non-CE4: Simplification of SIF
Non-CE4: Unification of DMVR and BDOF enabling conditions
Non-CE4: Using integer MV in CIIP
CE4-related: Clipping for PROF
JVET AHG report: Tool reporting procedure (AHG13)
Crosscheck of JVET-O0648: Non-CE5: On Exp-Golomb Coding of ALF Filter Coefficients and Clip Values
Crosscheck of JVET-O0593: CE4-related: Harmonization of BDOF and PROF
Crosscheck of JVET-O0553: Non-CE4: On prediction refinement with optical flow
CE4/9-related: Combined Test of JVET-O0593/JVET-O0252/JVET-O0281/JVET-O0615 on harmonization on BDOF and PROF
Crosscheck of JVET-O0313: CE4-related: On Conditions for enabling PROF
Crosscheck of JVET-O0123: CE4-related: Alignment of BDOF refinement process with PROF
CE4-related: Prediction refinement with optical flow for chroma components for affine mode
Non-CE9: Block Boundary Prediction Refinement with Optical Flow for DMVR
Non-CE9: Bi-directional optical flow (BDOF) for chroma components
Non-CE9: Derivation of extended prediction samples for BDOF gradient calculation
CE4-related: Additional tests for prediction refinement with optical flow for affine mode (CE4-2.1) with 4x8 sub-block size
Crosscheck of JVET-N0471 (non-CE4: Simplification of decoding process for SMVD reference indices)
Crosscheck of JVET-N0408 (Non-CE9: Early Termination Techniques for DMVR)
CE2-related: Affine motion model derivation method for affine merge mode
CE9: Report on the results of tests CE9.2.15 and CE9.2.16